class TestHelper(unittest.TestCase):
def setUp(self):
self.example = ExampleData()
self.helper = Helper()
self.gff_out = self.example.gff_out
self.rev_seq = self.example.rev_seq.replace("\n", "")
self.test_folder = "test_folder"
if (not os.path.exists(self.test_folder)):
os.mkdir(self.test_folder)
self.gff_file = os.path.join(self.test_folder, "test.gff")
with open(self.gff_file, "w") as rh:
rh.write(self.example.gff_file)
self.seq_file = os.path.join(self.test_folder, "test.fa")
with open(self.seq_file, "w") as rh:
rh.write(self.example.seq)
def tearDown(self):
if os.path.exists(self.test_folder):
shutil.rmtree(self.test_folder)
def test_remove_all_content(self):
tmp1 = os.path.join(self.test_folder, "tmp1.gff")
tmp2 = os.path.join(self.test_folder, "tmp2")
shutil.copyfile(self.gff_file, tmp1)
os.mkdir(tmp2)
self.helper.remove_all_content(self.test_folder, "tmp", "file")
self.assertFalse(os.path.exists(tmp1))
self.assertTrue(os.path.exists(tmp2))
self.helper.remove_all_content(self.test_folder, "tmp", "dir")
self.assertFalse(os.path.exists(tmp2))
self.assertTrue(os.path.exists(self.gff_file))
def test_remove_tmp(self):
tmp1 = os.path.join(self.test_folder, "tmp")
tmp2 = os.path.join(self.test_folder, "test.gff_folder")
os.mkdir(tmp1)
os.mkdir(tmp2)
self.helper.remove_tmp(self.test_folder)
self.assertFalse(os.path.exists(tmp1))
self.assertFalse(os.path.exists(tmp2))
def test_get_correct_file(self):
gff_file = os.path.join(self.test_folder, "test.gff")
wig_f_file = os.path.join(self.test_folder,
"test_forward.wig_STRAIN_aaa.wig")
wig_r_file = os.path.join(self.test_folder,
"test_reverse.wig_STRAIN_aaa.wig")
shutil.copyfile(gff_file, wig_f_file)
shutil.copyfile(gff_file, wig_r_file)
libs = ["test_forward.wig_STRAIN_aaa.wig:frag:1:a:+",
"test_reverse.wig_STRAIN_aaa.wig:frag:1:a:-"]
filename = self.helper.get_correct_file(
self.test_folder, ".gff", "test", None, libs)
self.assertEqual(filename, gff_file)
def test_sorf_gff(self):
out_file = os.path.join(self.test_folder, "test.out")
self.helper.sort_gff(self.gff_file, out_file)
datas = import_data(out_file)
self.assertEqual(set(datas), set(self.gff_out.split("\n")))
def test_extract_gene(self):
seq = self.example.seq.replace("\n", "")
new_seq = self.helper.extract_gene(seq, 1, 70, "+")
self.assertEqual(new_seq,
"CGCAGGTTGAGTTCCTGTTCCCGATAGATCCGATAAACCCGCTTATGATTCCAGAGCTGTCCCTGCACAT")
new_seq = self.helper.extract_gene(seq, 1, 140, "-")
self.assertEqual(new_seq, self.rev_seq)
def test_get_seq(self):
gff_file = os.path.join(self.test_folder, "test.gff")
out_file = os.path.join(self.test_folder, "test.cds")
lines = self.example.gff_out.split("\n")
with open(gff_file, "w") as gh:
gh.write(lines[1])
self.helper.get_seq(self.gff_file, self.seq_file, out_file)
datas = import_data(out_file)
self.assertEqual(set(datas), set([">cds0|aaa|1|10|+", "CGCAGGTTGA"]))
class Terminator(object):
def __init__(self, args_term):
self.multiparser = Multiparser()
self.helper = Helper()
self.converter = Converter()
self.gff_parser = Gff3Parser()
self.gff_path = os.path.join(args_term.gffs, "tmp")
self.fasta_path = os.path.join(args_term.fastas, "tmp")
self.tran_path = os.path.join(args_term.trans, "tmp")
self.outfolder = {"term": os.path.join(args_term.out_folder, "gffs"),
"csv": os.path.join(args_term.out_folder, "tables")}
self.terms = {"all": os.path.join(self.outfolder["term"],
"all_candidates"),
"express": os.path.join(self.outfolder["term"],
"express"),
"best": os.path.join(self.outfolder["term"], "best"),
"non": os.path.join(self.outfolder["term"],
"non_express")}
self.csvs = {"all": os.path.join(self.outfolder["csv"],
"all_candidates"),
"express": os.path.join(self.outfolder["csv"], "express"),
"best": os.path.join(self.outfolder["csv"], "best"),
"non": os.path.join(self.outfolder["csv"], "non_express")}
self.combine_path = os.path.join(self.gff_path, "combine")
self.tmps = {"transterm": os.path.join(os.getcwd(), "tmp_transterm"),
"hp": "transtermhp", "hp_gff": "transtermhp.gff",
"hp_path": "tmp_transterm/tmp",
"term_table": os.path.join(os.getcwd(), "tmp_term_table"),
"merge": os.path.join(os.getcwd(), "tmp_merge_gff"),
"gff": "tmp.gff",
"folder": os.path.join(os.getcwd(), "tmp")}
self.suffixs = {"gff": "term.gff", "csv": "term.csv",
"allgff": "term_all.gff"}
if args_term.srnas:
self.srna_path = os.path.join(args_term.srnas, "tmp")
else:
self.srna_path = None
self._make_gff_folder()
def _combine_annotation(self, combine_file, files):
with open(combine_file, 'w') as result:
for file_ in files:
check_start = False
fh = open(file_, 'r')
for line in fh:
if check_start:
result.write(line)
if "Location" in line:
check_start = True
if "\n" not in line:
result.write("\n")
fh.close()
def _make_gff_folder(self):
self.helper.check_make_folder(self.terms["all"])
self.helper.check_make_folder(self.csvs["all"])
self.helper.check_make_folder(self.terms["best"])
self.helper.check_make_folder(self.csvs["best"])
self.helper.check_make_folder(self.terms["express"])
self.helper.check_make_folder(self.csvs["express"])
self.helper.check_make_folder(self.terms["non"])
self.helper.check_make_folder(self.csvs["non"])
def _convert_gff2rntptt(self, gff_path, fasta_path, sRNAs):
file_types = {}
prefixs = []
for gff in os.listdir(gff_path):
if gff.endswith(".gff"):
filename = gff.split("/")
prefix = filename[-1][:-4]
prefixs.append(prefix)
gff_file = os.path.join(gff_path, gff)
rnt_file = os.path.join(gff_path, gff.replace(".gff", ".rnt"))
ptt_file = os.path.join(gff_path, gff.replace(".gff", ".ptt"))
fasta = self.helper.get_correct_file(
fasta_path, ".fa", prefix, None, None)
if not fasta:
print("Error: no proper file - {0}.fa".format(prefix))
sys.exit()
if sRNAs:
self.multiparser.parser_gff(sRNAs, "sRNA")
srna = self.helper.get_correct_file(
self.srna_path, "_sRNA.gff", prefix, None, None)
if (srna) and (fasta):
self.converter.convert_gff2rntptt(
gff_file, fasta, ptt_file, rnt_file, srna,
srna.replace(".gff", ".rnt"))
file_types[prefix] = "srna"
if (not srna) and (fasta):
self.converter.convert_gff2rntptt(
gff_file, fasta, ptt_file, rnt_file, None, None)
file_types[prefix] = "normal"
else:
self.converter.convert_gff2rntptt(
gff_file, fasta, ptt_file, rnt_file, None, None)
file_types[prefix] = "normal"
return file_types, prefixs
def _combine_ptt_rnt(self, gff_path, file_types, srna_path):
self.helper.check_make_folder(self.combine_path)
for prefix, file_type in file_types.items():
combine_file = os.path.join(self.combine_path, prefix + '.ptt')
if file_type == "normal":
files = [os.path.join(gff_path, prefix + ".ptt"),
os.path.join(gff_path, prefix + ".rnt")]
self._combine_annotation(combine_file, files)
elif file_type == "srna":
files = [os.path.join(gff_path, prefix + ".ptt"),
os.path.join(gff_path, prefix + ".rnt"),
os.path.join(srna_path,
"_".join([prefix, "sRNA.rnt"]))]
self._combine_annotation(combine_file, files)
def _TransTermHP(self, fasta, file_, out_path, prefix, out, args_term):
call([args_term.TransTermHP_path, "-p", args_term.expterm_path,
fasta, os.path.join(self.combine_path, file_), "--t2t-perf",
os.path.join(out_path, "_".join([
prefix,
"terminators_within_robust_tail-to-tail_regions.t2t"])),
"--bag-output", os.path.join(out_path, "_".join([
prefix, "best_terminator_after_gene.bag"]))],
stdout=out)
def _run_TransTermHP(self, args_term):
self.helper.check_make_folder(self.tmps["transterm"])
for file_ in os.listdir(self.combine_path):
if ".ptt" in file_:
prefix = file_.replace(".ptt", "")
fasta = self.helper.get_correct_file(
self.fasta_path, ".fa", prefix, None, None)
if not fasta:
print("Error: no proper file - {0}.fa".format(prefix))
sys.exit()
out_path = os.path.join(args_term.hp_folder, prefix)
self.helper.check_make_folder(out_path)
out = open(os.path.join(out_path,
"_".join([prefix, "terminators.txt"])), "w")
self._TransTermHP(fasta, file_, out_path,
prefix, out, args_term)
out.close()
shutil.rmtree(self.combine_path)
def _convert_to_gff(self, prefixs, args_term):
for prefix in prefixs:
for folder in os.listdir(args_term.hp_folder):
if prefix == folder:
out_path = os.path.join(args_term.hp_folder, folder)
for file_ in os.listdir(out_path):
if file_.endswith(".bag"):
out_file = os.path.join(
self.tmps["transterm"],
"_".join([prefix, self.tmps["hp_gff"]]))
self.converter.convert_transtermhp2gff(
os.path.join(out_path, file_), out_file)
self.multiparser.combine_gff(args_term.gffs, self.tmps["transterm"],
None, self.tmps["hp"])
def _combine_wigs(self, args_term):
if (args_term.tex_wigs is not None) and (
args_term.frag_wigs is not None):
folder = args_term.tex_wigs.split("/")
folder = "/".join(folder[:-1])
merge_wigs = os.path.join(folder, "merge_wigs")
self.helper.check_make_folder(merge_wigs)
for wig in os.listdir(args_term.tex_wigs):
if os.path.isdir(os.path.join(args_term.tex_wigs, wig)):
pass
else:
shutil.copy(os.path.join(args_term.tex_wigs, wig),
merge_wigs)
for wig in os.listdir(args_term.frag_wigs):
if os.path.isdir(os.path.join(args_term.frag_wigs, wig)):
pass
else:
shutil.copy(os.path.join(args_term.frag_wigs, wig),
merge_wigs)
elif (args_term.tex_wigs is not None):
merge_wigs = args_term.tex_wigs
elif (args_term.frag_wigs is not None):
merge_wigs = args_term.frag_wigs
else:
print("Error: no proper wig files!!!")
sys.exit()
return merge_wigs
def _merge_sRNA(self, sRNAs, prefixs, gff_path):
if sRNAs is not None:
self.multiparser.parser_gff(sRNAs, "sRNA")
self.helper.check_make_folder(self.tmps["merge"])
for prefix in prefixs:
tmp_gff = os.path.join(self.tmps["merge"], self.tmps["gff"])
if self.tmps["gff"] in os.listdir(self.tmps["merge"]):
os.remove(tmp_gff)
self.helper.merge_file(os.path.join(gff_path, prefix + ".gff"),
tmp_gff)
self.helper.merge_file(os.path.join(
self.srna_path, "_".join([prefix, "sRNA.gff"])), tmp_gff)
self.helper.sort_gff(tmp_gff, os.path.join(
self.tmps["merge"], prefix + ".gff"))
os.remove(tmp_gff)
merge_path = self.tmps["merge"]
else:
merge_path = gff_path
return merge_path
def _move_file(self, term_outfolder, csv_outfolder):
for gff in os.listdir(term_outfolder):
if gff.endswith("_term.gff"):
self.helper.sort_gff(os.path.join(term_outfolder, gff),
self.tmps["gff"])
shutil.move(self.tmps["gff"],
os.path.join(term_outfolder, gff))
prefix = gff.replace("_term.gff", "")
new_gff = os.path.join(self.terms["all"], "_".join([
prefix, self.suffixs["allgff"]]))
csv_file = os.path.join(
os.path.join(self.csvs["all"], "_".join([
prefix, self.suffixs["csv"]])))
out = open(new_gff, "w")
out.write("##gff-version 3\n")
out.close()
self.helper.merge_file(
os.path.join(term_outfolder, gff),
os.path.join(
self.terms["all"], "_".join([
prefix, self.suffixs["allgff"]])))
os.remove(os.path.join(term_outfolder, gff))
pre_strain = ""
if ("_".join([prefix, self.suffixs["csv"]]) in
os.listdir(self.csvs["all"])):
os.remove(csv_file)
out_csv = open(csv_file, "w")
out_csv.write("\t".join(["strain", "name", "start", "end",
"strand", "detect", "coverage_detail"]) + "\n")
out_csv.close()
fh = open(new_gff)
for entry in self.gff_parser.entries(fh):
if entry.seq_id != pre_strain:
self.helper.merge_file(os.path.join(
self.tmps["term_table"], "_".join([
entry.seq_id, "term_raw.csv"])),
os.path.join(self.csvs["all"], "_".join([
prefix, self.suffixs["csv"]])))
pre_strain = entry.seq_id
fh.close()
def _run_rnafold(self, RNAfold_path, tmp_seq, tmp_sec, prefix):
print("Computing secondray structure of {0}".format(prefix))
self.helper.check_make_folder(self.tmps["folder"])
pre_cwd = os.getcwd()
os.chdir(self.tmps["folder"])
os.system(" ".join([RNAfold_path, "<", os.path.join("..", tmp_seq),
">", os.path.join("..", tmp_sec)]))
os.chdir(pre_cwd)
shutil.rmtree(self.tmps["folder"])
def _compute_intersection_forward_reverse(
self, prefixs, merge_path, wig_path, merge_wigs, args_term):
for prefix in prefixs:
tmp_seq = os.path.join(args_term.out_folder,
"_".join(["inter_seq", prefix]))
tmp_sec = os.path.join(args_term.out_folder,
"_".join(["inter_sec", prefix]))
tran_file = os.path.join(self.tran_path,
"_".join([prefix, "transcript.gff"]))
gff_file = os.path.join(merge_path, prefix + ".gff")
print("Extracting seq of {0}".format(prefix))
intergenic_seq(os.path.join(self.fasta_path, prefix + ".fa"),
tran_file, gff_file, tmp_seq)
self._run_rnafold(args_term.RNAfold_path, tmp_seq, tmp_sec, prefix)
tmp_cand = os.path.join(args_term.out_folder,
"_".join(["term_candidates", prefix]))
poly_t(tmp_seq, tmp_sec, gff_file, tran_file, tmp_cand, args_term)
print("detection of terminator")
detect_coverage(
tmp_cand, os.path.join(merge_path, prefix + ".gff"),
os.path.join(self.tran_path, "_".join([
prefix, "transcript.gff"])),
os.path.join(self.fasta_path, prefix + ".fa"),
os.path.join(wig_path, "_".join([prefix, "forward.wig"])),
os.path.join(wig_path, "_".join([prefix, "reverse.wig"])),
os.path.join(self.tmps["hp_path"], "_".join([
prefix, self.tmps["hp_gff"]])), merge_wigs,
os.path.join(self.outfolder["term"], "_".join([
prefix, self.suffixs["gff"]])),
os.path.join(self.tmps["term_table"], "_".join([
prefix, "term_raw.csv"])), args_term)
self.multiparser.combine_gff(args_term.gffs, self.outfolder["term"],
None, "term")
self._move_file(self.outfolder["term"], self.outfolder["csv"])
def _remove_tmp_file(self, merge_wigs, args_term):
self.helper.remove_tmp(args_term.gffs)
self.helper.remove_tmp(args_term.fastas)
if args_term.srnas is not None:
self.helper.remove_tmp(args_term.srnas)
shutil.rmtree(self.tmps["merge"])
if (args_term.tex_wigs is not None) and (
args_term.frag_wigs is not None):
shutil.rmtree(merge_wigs)
self.helper.remove_tmp(args_term.trans)
self.helper.remove_tmp(args_term.tex_wigs)
self.helper.remove_tmp(args_term.frag_wigs)
self.helper.remove_tmp(self.outfolder["term"])
shutil.rmtree(self.tmps["transterm"])
shutil.rmtree(self.tmps["term_table"])
self.helper.remove_all_content(args_term.out_folder,
"inter_seq_", "file")
self.helper.remove_all_content(args_term.out_folder,
"inter_sec_", "file")
self.helper.remove_all_content(args_term.out_folder,
"term_candidates_", "file")
def _compute_stat(self, args_term):
new_prefixs = []
for gff in os.listdir(self.terms["all"]):
if gff.endswith("_term_all.gff"):
out_tmp = open(self.tmps["gff"], "w")
out_tmp.write("##gff-version 3\n")
new_prefix = gff.replace("_term_all.gff", "")
new_prefixs.append(gff.replace("_term_all.gff", ""))
num = 0
fh = open(os.path.join(self.terms["all"], gff))
for entry in self.gff_parser.entries(fh):
name = '%0*d' % (5, num)
entry.attributes["ID"] = "term" + str(num)
entry.attributes["Name"] = "_".join(["Terminator_" + name])
entry.attribute_string = ";".join([
"=".join(items) for items in entry.attributes.items()])
out_tmp.write("\t".join([entry.info_without_attributes,
entry.attribute_string]) + "\n")
num += 1
out_tmp.close()
fh.close()
shutil.move(self.tmps["gff"], os.path.join(self.terms["all"],
"_".join([new_prefix, self.suffixs["gff"]])))
if args_term.stat:
stat_path = os.path.join(args_term.out_folder, "statistics")
for prefix in new_prefixs:
stat_term(os.path.join(self.terms["all"],
"_".join([prefix, self.suffixs["gff"]])),
os.path.join(self.csvs["all"],
"_".join([prefix, self.suffixs["csv"]])),
os.path.join(stat_path,
"_".join(["stat", prefix + ".csv"])),
os.path.join(self.terms["best"],
"_".join([prefix, "term"])),
os.path.join(self.terms["express"],
"_".join([prefix, "term"])),
os.path.join(self.terms["non"],
"_".join([prefix, "term"])))
shutil.move(os.path.join(self.terms["best"],
"_".join([prefix, self.suffixs["csv"]])),
os.path.join(self.csvs["best"],
"_".join([prefix, self.suffixs["csv"]])))
shutil.move(os.path.join(self.terms["express"],
"_".join([prefix, self.suffixs["csv"]])),
os.path.join(self.csvs["express"],
"_".join([prefix, self.suffixs["csv"]])))
shutil.move(os.path.join(self.terms["non"],
"_".join([prefix, self.suffixs["csv"]])),
os.path.join(self.csvs["non"],
"_".join([prefix, self.suffixs["csv"]])))
os.remove(os.path.join(self.terms["all"],
"_".join([prefix, self.suffixs["allgff"]])))
def _check_gff_file(self, folder):
for file_ in os.listdir(folder):
if file_.endswith(".gff"):
self.helper.check_uni_attributes(os.path.join(folder, file_))
def _compare_term_tran(self, args_term):
self.multiparser.combine_gff(args_term.gffs, self.tran_path,
None, "transcript")
for type_ in ("best", "express", "all_candidates"):
compare_term_tran(self.tran_path,
os.path.join(self.outfolder["term"], type_),
args_term.fuzzy_up_ta, args_term.fuzzy_down_ta,
args_term.out_folder, "terminator")
shutil.move(
os.path.join(
args_term.out_folder, "statistics",
"stat_comparison_terminator_transcript.csv"),
os.path.join(
args_term.out_folder, "statistics",
"stat_comparison_terminator_transcript_" + type_ + ".csv"))
def run_terminator(self, args_term):
self._check_gff_file(args_term.gffs)
self._check_gff_file(args_term.trans)
self.multiparser.parser_fasta(args_term.fastas)
if (not args_term.gffs) or (not args_term.fastas):
print("Error: please assign gff annotation folder "
"and fasta folder!!!")
sys.exit()
file_types, prefixs = self._convert_gff2rntptt(
self.gff_path, self.fasta_path, args_term.srnas)
self._combine_ptt_rnt(self.gff_path, file_types, self.srna_path)
self._run_TransTermHP(args_term)
self._convert_to_gff(prefixs, args_term)
self.helper.remove_tmp(self.gff_path)
self.multiparser.parser_gff(args_term.trans, "transcript")
self.helper.check_make_folder(self.tmps["term_table"])
self.multiparser.parser_gff(self.tmps["transterm"], self.tmps["hp"])
merge_path = self._merge_sRNA(args_term.srnas, prefixs, self.gff_path)
self._compute_intersection_forward_reverse(
prefixs, merge_path, args_term.wig_path,
args_term.merge_wigs, args_term)
self._compute_stat(args_term)
self._compare_term_tran(args_term)
self._remove_tmp_file(args_term.merge_wigs, args_term)
class RATT(object):
def __init__(self, args_ratt):
self.multiparser = Multiparser()
self.converter = Converter()
self.format_fixer = FormatFixer()
self.helper = Helper()
self.gbk = os.path.join(args_ratt.ref_embls, "gbk_tmp")
self.gbk_tmp = os.path.join(self.gbk, "tmp")
self.embl = os.path.join(args_ratt.ref_embls, "embls")
self.ratt_log = os.path.join(args_ratt.output_path, "ratt_log.txt")
self.tmp_files = {"tar": os.path.join(args_ratt.tar_fastas, "tmp"),
"ref": os.path.join(args_ratt.ref_fastas, "tmp"),
"out_gff": os.path.join(args_ratt.gff_outfolder,
"tmp"),
"gff": os.path.join(args_ratt.gff_outfolder,
"tmp.gff"),
"ptt": os.path.join(args_ratt.gff_outfolder,
"tmp.ptt"),
"rnt": os.path.join(args_ratt.gff_outfolder,
"tmp.rnt")}
def _convert_to_pttrnt(self, gffs, files):
for gff in files:
if gff.endswith(".gff"):
gff = os.path.join(gffs, gff)
filename = gff.split("/")
prefix = filename[-1][:-4]
rnt = gff[:-3] + "rnt"
ptt = gff[:-3] + "ptt"
fasta = self.helper.get_correct_file(self.tmp_files["tar"],
".fa", prefix, None, None)
if fasta:
self.converter.convert_gff2rntptt(gff, fasta, ptt, rnt,
None, None)
def _remove_files(self, args_ratt, out_gbk):
self.helper.remove_all_content(args_ratt.gff_outfolder, ".gff", "file")
self.helper.remove_all_content(args_ratt.gff_outfolder, ".ptt", "file")
self.helper.remove_all_content(args_ratt.gff_outfolder, ".rnt", "file")
self.helper.move_all_content(self.tmp_files["out_gff"],
args_ratt.gff_outfolder, None)
shutil.rmtree(self.tmp_files["out_gff"])
shutil.rmtree(self.tmp_files["tar"])
shutil.rmtree(self.tmp_files["ref"])
shutil.rmtree(self.embl)
self.helper.remove_all_content(args_ratt.tar_fastas, "_folder", "dir")
self.helper.remove_all_content(args_ratt.ref_fastas, "_folder", "dir")
if out_gbk:
shutil.rmtree(out_gbk)
def _convert_to_gff(self, ratt_result, args_ratt, files):
name = ratt_result.split(".")
filename = ".".join(name[1:-2]) + ".gff"
output_file = os.path.join(args_ratt.output_path, filename)
self.converter.convert_embl2gff(
os.path.join(args_ratt.output_path, ratt_result), output_file)
self.format_fixer.fix_ratt(output_file, ".".join(name[1:-2]),
"tmp_gff")
shutil.move("tmp_gff", output_file)
shutil.copy(output_file, os.path.join(args_ratt.gff_outfolder,
filename))
files.append(filename)
def _parser_embl_gbk(self, files):
self.helper.check_make_folder(self.gbk)
for file_ in files:
close = False
with open(file_, "r") as f_h:
for line in f_h:
if (line.startswith("LOCUS")):
out = open(self.gbk_tmp, "w")
datas = line.split(" ")
for data in datas:
if (len(data) != 0) and (data != "LOCUS"):
filename = ".".join([data, "gbk"])
break
elif (line.startswith("VERSION")):
datas = line.split(" ")
for data in datas:
if (len(data) != 0) and (data != "VERSION"):
new_filename = ".".join([data, "gbk"])
break
if new_filename.find(filename):
filename = new_filename
if out:
out.write(line)
if line.startswith("//"):
out.close()
close = True
shutil.move(self.gbk_tmp,
os.path.join(self.gbk, filename))
if not close:
out.close()
return self.gbk
def _convert_embl(self, ref_embls):
detect_gbk = False
gbks = []
out_gbk = None
for embl in os.listdir(ref_embls):
if embl.endswith(".gbk"):
detect_gbk = True
gbks.append(os.path.join(ref_embls, embl))
if not detect_gbk:
print("Error: please assign proper folder for Genebank file!!!")
sys.exit()
elif detect_gbk:
out_gbk = self._parser_embl_gbk(gbks)
self.converter.convert_gbk2embl(out_gbk)
self.helper.check_make_folder(self.embl)
self.helper.move_all_content(out_gbk, self.embl, [".embl"])
return out_gbk
def _run_ratt(self, args_ratt, tar, ref, out):
call([args_ratt.ratt_path, self.embl,
os.path.join(self.tmp_files["tar"], tar + ".fa"),
args_ratt.element, args_ratt.transfer_type,
os.path.join(self.tmp_files["ref"], ref + ".fa")],
stdout=out, stderr=DEVNULL)
def _format_and_run(self, args_ratt):
print("Running RATT...")
for pair in args_ratt.pairs:
ref = pair.split(":")[0]
tar = pair.split(":")[1]
out = open(self.ratt_log, "w+")
print(tar)
self._run_ratt(args_ratt, tar, ref, out)
for filename in os.listdir():
if ("final" in filename):
shutil.move(filename, os.path.join(args_ratt.output_path,
filename))
elif (args_ratt.element in filename) or (
"query" in filename) or (
"Reference" in filename) or (
"Query" in filename) or (
"Sequences" in filename):
if os.path.isfile(filename):
os.remove(filename)
if os.path.isdir(filename):
shutil.rmtree(filename)
out.close()
def annotation_transfer(self, args_ratt):
self.multiparser.parser_fasta(args_ratt.tar_fastas)
self.multiparser.parser_fasta(args_ratt.ref_fastas)
out_gbk = self._convert_embl(args_ratt.ref_embls)
self._format_and_run(args_ratt)
if args_ratt.convert:
files = []
for data in os.listdir(args_ratt.output_path):
if "final.embl" in data:
self._convert_to_gff(data, args_ratt, files)
self._convert_to_pttrnt(args_ratt.gff_outfolder, files)
self.helper.check_make_folder(self.tmp_files["out_gff"])
for folder in os.listdir(args_ratt.tar_fastas):
files = []
if "_folder" in folder:
datas = folder.split("_folder")
prefix = datas[0][:-3]
for file_ in os.listdir(os.path.join(args_ratt.tar_fastas,
folder)):
files.append(file_[:-3])
for gff in os.listdir(args_ratt.gff_outfolder):
for file_ in files:
if (".gff" in gff) and (file_ == gff[:-4]):
self.helper.merge_file(os.path.join(
args_ratt.gff_outfolder, gff),
self.tmp_files["gff"])
if (".ptt" in gff) and (file_ == gff[:-4]):
self.helper.merge_file(os.path.join(
args_ratt.gff_outfolder, gff),
self.tmp_files["ptt"])
if (".rnt" in gff) and (file_ == gff[:-4]):
self.helper.merge_file(os.path.join(
args_ratt.gff_outfolder, gff),
self.tmp_files["rnt"])
shutil.move(self.tmp_files["gff"], os.path.join(
self.tmp_files["out_gff"], prefix + ".gff"))
shutil.move(self.tmp_files["ptt"], os.path.join(
self.tmp_files["out_gff"], prefix + ".ptt"))
shutil.move(self.tmp_files["rnt"], os.path.join(
self.tmp_files["out_gff"], prefix + ".rnt"))
self._remove_files(args_ratt, out_gbk)
class sRNADetection(object):
def __init__(self, args_srna):
self.args_container = ArgsContainer()
self.helper = Helper()
self.multiparser = Multiparser()
self.gff_output = os.path.join(args_srna.out_folder, "gffs")
self.table_output = os.path.join(args_srna.out_folder, "tables")
self.stat_path = os.path.join(args_srna.out_folder, "statistics")
self.tss_path = self._check_folder_exist(args_srna.tss_folder)
self.pro_path = self._check_folder_exist(args_srna.pro_folder)
self.sorf_path = self._check_folder_exist(args_srna.sorf_file)
self.fasta_path = os.path.join(args_srna.fastas, "tmp")
self.tran_path = os.path.join(args_srna.trans, "tmp")
self.term_path = self._check_folder_exist(args_srna.terms)
self.merge_wigs = os.path.join(args_srna.out_folder, "merge_wigs")
self.prefixs = {"merge": os.path.join(
args_srna.out_folder, "tmp_merge"),
"utr": os.path.join(
args_srna.out_folder, "tmp_utrsrna"),
"normal": os.path.join(
args_srna.out_folder, "tmp_normal"),
"in_cds": os.path.join(
args_srna.out_folder, "tmp_incds"),
"merge_table": os.path.join(
args_srna.out_folder, "tmp_merge_table"),
"utr_table": os.path.join(
args_srna.out_folder, "tmp_utrsrna_table"),
"normal_table": os.path.join(
args_srna.out_folder, "tmp_normal_table"),
"in_cds_table": os.path.join(
args_srna.out_folder, "tmp_incds_table"),
"basic": os.path.join(
args_srna.out_folder, "tmp_basic"),
"energy": os.path.join(
args_srna.out_folder, "tmp_energy")}
self.tmps = {"nr": os.path.join(args_srna.out_folder, "tmp_nr"),
"srna": os.path.join(args_srna.out_folder, "tmp_sRNA")}
self.best_table = os.path.join(self.table_output, "best")
self.table_output = os.path.join(args_srna.out_folder, "tables")
self.stat_path = os.path.join(args_srna.out_folder, "statistics")
self.all_best = {"all_gff": os.path.join(
self.gff_output, "all_candidates"),
"best_gff": os.path.join(self.gff_output, "best"),
"all_table": os.path.join(
self.table_output, "all_candidates"),
"best_table": os.path.join(self.table_output, "best")}
def _check_folder_exist(self, folder):
if folder is not None:
path = os.path.join(folder, "tmp")
else:
path = None
return path
def _check_gff(self, gffs):
for gff in os.listdir(gffs):
if gff.endswith(".gff"):
self.helper.check_uni_attributes(os.path.join(gffs, gff))
def _run_format(self, blast_path, database, type_, db_file, err):
call([os.path.join(blast_path, "makeblastdb"), "-in", database,
"-dbtype", type_, "-out", db_file], stderr=err)
def _formatdb(self, database, type_, out_folder,
blast_path, database_type):
err = open(os.path.join(out_folder, "log.txt"), "w")
if (database.endswith(".fa")) or (
database.endswith(".fna")) or (
database.endswith(".fasta")):
pass
else:
folders = database.split("/")
filename = folders[-1]
folder = "/".join(folders[:-1])
for fasta in os.listdir(folder):
if (fasta.endswith(".fa")) or (
fasta.endswith(".fna")) or (
fasta.endswith(".fasta")):
if ".".join(fasta.split(".")[:-1]) == filename:
database = os.path.join(folder, fasta)
if database_type == "sRNA":
change_format(database, "tmp_srna_database")
os.remove(database)
shutil.move("tmp_srna_database", database)
db_file = ".".join(database.split(".")[:-1])
self._run_format(blast_path, database, type_, db_file, err)
err.close()
def _merge_frag_tex_file(self, files, args_srna):
if (args_srna.frag_wigs is not None) and (
args_srna.tex_wigs is not None):
self.helper.merge_file(files["frag_gff"], files["tex_gff"])
self.helper.merge_file(files["frag_csv"], files["tex_csv"])
shutil.move(files["tex_csv"], files["merge_csv"])
self.helper.sort_gff(files["tex_gff"], files["merge_gff"])
os.remove(files["frag_csv"])
os.remove(files["frag_gff"])
os.remove(files["tex_gff"])
elif (args_srna.frag_wigs is not None):
shutil.move(files["frag_csv"], files["merge_csv"])
self.helper.sort_gff(files["frag_gff"], files["merge_gff"])
os.remove(files["frag_gff"])
elif (args_srna.tex_wigs is not None):
shutil.move(files["tex_csv"], files["merge_csv"])
self.helper.sort_gff(files["tex_gff"], files["merge_gff"])
def _run_normal(self, prefix, gff, tran, fuzzy_tss, args_srna):
if "tmp_cutoff_inter" in os.listdir(args_srna.out_folder):
os.remove(os.path.join(args_srna.out_folder, "tmp_cutoff_inter"))
files = {"frag_gff": None, "frag_csv": None,
"tex_gff": None, "tex_csv": None,
"merge_gff": None, "merge_csv": None}
if ("tss" in args_srna.import_info):
tss = self.helper.get_correct_file(self.tss_path, "_TSS.gff",
prefix, None, None)
else:
tss = None
if self.pro_path is not None:
pro = self.helper.get_correct_file(
self.pro_path, "_processing.gff", prefix, None, None)
else:
pro = None
if args_srna.frag_wigs is not None:
files["frag_gff"] = os.path.join(
args_srna.out_folder, "_".join(["tmp_frag", prefix]))
files["frag_csv"] = os.path.join(
args_srna.out_folder, "_".join(["tmp_frag_table", prefix]))
args_srna = self.args_container.container_intersrna(
"frag", files, args_srna, prefix,
os.path.join(args_srna.gffs, gff), tran, tss,
pro, fuzzy_tss)
intergenic_srna(args_srna)
if args_srna.tex_wigs is not None:
files["tex_gff"] = os.path.join(
args_srna.out_folder, "_".join(["tmp_tex", prefix]))
files["tex_csv"] = os.path.join(
args_srna.out_folder, "_".join(["tmp_tex_table", prefix]))
args_srna = self.args_container.container_intersrna(
"tex", files, args_srna, prefix,
os.path.join(args_srna.gffs, gff), tran, tss,
pro, fuzzy_tss)
intergenic_srna(args_srna)
files["merge_csv"] = "_".join([self.prefixs["normal_table"], prefix])
files["merge_gff"] = "_".join([self.prefixs["normal"], prefix])
self._merge_frag_tex_file(files, args_srna)
if "TSS_class" in os.listdir(args_srna.out_folder):
tss = os.path.join(args_srna.out_folder,
"TSS_class", prefix + "_TSS.gff")
return tss
def _run_utrsrna(self, gff, tran, prefix, tss, pro, args_srna):
if "tmp_median" in os.listdir(args_srna.out_folder):
os.remove(os.path.join(args_srna.out_folder, "tmp_median"))
files = {"frag_gff": None, "frag_csv": None,
"tex_gff": None, "tex_csv": None,
"merge_gff": None, "merge_csv": None}
if args_srna.tex_wigs is not None:
files["tex_gff"] = os.path.join(
args_srna.out_folder, "_".join(["tmp_utr_tex", prefix]))
files["tex_csv"] = os.path.join(
args_srna.out_folder,
"_".join(["tmp_utr_tex_table", prefix]))
args_srna = self.args_container.container_utrsrna(
os.path.join(args_srna.gffs, gff), tran, tss, files,
pro, os.path.join(self.fasta_path, prefix + ".fa"),
"tex", prefix, args_srna)
utr_derived_srna(args_srna)
if args_srna.frag_wigs is not None:
files["frag_gff"] = os.path.join(
args_srna.out_folder, "_".join(["tmp_utr_frag", prefix]))
files["frag_csv"] = os.path.join(
args_srna.out_folder, "_".join(["tmp_utr_frag_table", prefix]))
args_srna = self.args_container.container_utrsrna(
os.path.join(args_srna.gffs, gff), tran, tss, files,
pro, os.path.join(self.fasta_path, prefix + ".fa"),
"frag", prefix, args_srna)
utr_derived_srna(args_srna)
files["merge_csv"] = "_".join([self.prefixs["utr_table"], prefix])
files["merge_gff"] = "_".join([self.prefixs["utr"], prefix])
self._merge_frag_tex_file(files, args_srna)
filter_utr(files["merge_gff"], files["merge_csv"], args_srna.min_utr)
def _check_necessary_file(self, args_srna):
if (args_srna.gffs is None) or (args_srna.trans is None) or (
(args_srna.tex_wigs is None) and (
args_srna.frag_wigs is None)):
print("Error: lack required files!!!!")
sys.exit()
if args_srna.utr_srna:
if (args_srna.tss_folder is None):
print("Error: lack required TSS files for UTR "
"derived sRNA detection!!!!")
sys.exit()
if (args_srna.pro_folder is None):
print("Warning: lack Processing site files for UTR "
"derived sRNA detection!!!")
print("it may effect the results!!!!")
self._check_gff(args_srna.gffs)
self._check_gff(args_srna.trans)
if args_srna.tss_folder is not None:
self._check_gff(args_srna.tss_folder)
self.multiparser.parser_gff(args_srna.tss_folder, "TSS")
self.multiparser.combine_gff(args_srna.gffs, self.tss_path,
None, "TSS")
if args_srna.pro_folder is not None:
self._check_gff(args_srna.pro_folder)
self.multiparser.parser_gff(args_srna.pro_folder, "processing")
self.multiparser.combine_gff(args_srna.gffs, self.pro_path,
None, "processing")
if args_srna.sorf_file is not None:
self._check_gff(args_srna.sorf_file)
self.multiparser.parser_gff(args_srna.sorf_file, "sORF")
self.multiparser.combine_gff(args_srna.gffs, self.sorf_path,
None, "sORF")
if args_srna.utr_srna or ("sec_str" in args_srna.import_info) or (
"blast_nr" in args_srna.import_info) or (
"blast_srna" in args_srna.import_info):
if args_srna.fastas is None:
print("Error: lack required fasta files for UTR "
"derived sRNA detection!!!!")
sys.exit()
self.multiparser.parser_fasta(args_srna.fastas)
self.multiparser.combine_fasta(args_srna.gffs,
self.fasta_path, None)
if args_srna.terms is not None:
self._check_gff(args_srna.terms)
self.multiparser.parser_gff(args_srna.terms, "term")
self.multiparser.combine_gff(args_srna.gffs, self.term_path,
None, "term")
else:
self.term_path = None
def _run_program(self, args_srna):
prefixs = []
tss = None
for gff in os.listdir(args_srna.gffs):
if gff.endswith(".gff"):
prefix = gff.replace(".gff", "")
prefixs.append(prefix)
print("Running sRNA detection of {0}....".format(prefix))
tran = self.helper.get_correct_file(
self.tran_path, "_transcript.gff", prefix, None, None)
gffs = {"merge": "_".join([self.prefixs["merge"], prefix]),
"utr": "_".join([self.prefixs["utr"], prefix]),
"normal": "_".join([self.prefixs["normal"], prefix])}
csvs = {"merge": "_".join([
self.prefixs["merge_table"], prefix]),
"utr": "_".join([self.prefixs["utr_table"], prefix]),
"normal": "_".join([
self.prefixs["normal_table"], prefix])}
tss = self._run_normal(
prefix, gff, tran, args_srna.fuzzy_tsss["inter"],
args_srna)
if args_srna.utr_srna:
print("Running UTR derived sRNA detection of {0}".format(
prefix))
if tss is None:
tss = self.helper.get_correct_file(
self.tss_path, "_TSS.gff", prefix, None, None)
if self.pro_path is not None:
pro = self.helper.get_correct_file(
self.pro_path, "_processing.gff",
prefix, None, None)
else:
pro = None
if tss is not None:
self._run_utrsrna(gff, tran, prefix,
tss, pro, args_srna)
self._merge_srna(args_srna, gffs, csvs, prefix,
os.path.join(args_srna.gffs, gff), tss)
filter_frag(csvs["merge"], gffs["merge"])
self.helper.sort_gff(gffs["merge"],
"_".join([self.prefixs["basic"], prefix]))
return prefixs
def _merge_srna(self, args_srna, gffs, csvs, prefix, gff_file, tss):
print("merging data of intergenic and UTR_derived sRNA...")
merge_srna_gff(gffs, args_srna.in_cds,
args_srna.cutoff_overlap, gff_file)
merge_srna_table(gffs["merge"], csvs, os.path.join(args_srna.wig_path,
"_".join([prefix, "forward.wig"])),
os.path.join(args_srna.wig_path,
"_".join([prefix, "reverse.wig"])),
tss, args_srna)
def _run_RNAfold(self, seq_file, vienna_path, sec_file):
os.system(" ".join(["cat", seq_file, "|",
os.path.join(vienna_path, "RNAfold"),
"-p", ">", sec_file]))
def _get_seq_sec(self, fasta_path, out_folder, prefix, sec_path,
dot_path, vienna_path):
detect = False
for fasta in os.listdir(fasta_path):
if fasta.endswith(".fa") and (
fasta.replace(".fa", "") == prefix):
detect = True
break
if detect:
detect = False
seq_file = os.path.join(out_folder, "_".join(["sRNA_seq", prefix]))
sec_file = os.path.join(out_folder, "_".join(["sRNA_2d", prefix]))
self.helper.get_seq("_".join([self.prefixs["basic"], prefix]),
os.path.join(fasta_path, fasta), seq_file)
else:
print("Error:There is not fasta file of {0}".format(prefix))
print("please check your imported information")
sys.exit()
tmp_path = os.path.join(out_folder, "tmp_srna")
self.helper.check_make_folder(tmp_path)
main_path = os.getcwd()
os.chdir(tmp_path)
sec_file = os.path.join(main_path, sec_file)
seq_file = os.path.join(main_path, seq_file)
tmp_sec_path = os.path.join(main_path, sec_path)
tmp_dot_path = os.path.join(main_path, dot_path)
self._run_RNAfold(seq_file, vienna_path, sec_file)
extract_energy(os.path.join(main_path,
"_".join([self.prefixs["basic"], prefix])),
sec_file, os.path.join(main_path,
"_".join([self.prefixs["energy"], prefix])))
for ps in os.listdir(os.getcwd()):
new_ps = ps.replace("|", "_")
shutil.move(ps, new_ps)
return {"sec": tmp_sec_path, "dot": tmp_dot_path, "main": main_path,
"tmp": os.path.join(main_path, tmp_path)}
def _run_replot(self, vienna_util, tmp_paths, file_, dot_file, rel_file):
os.system(" ".join([os.path.join(vienna_util, "relplot.pl"),
os.path.join(tmp_paths["tmp"], file_),
os.path.join(tmp_paths["tmp"], dot_file),
">", os.path.join(tmp_paths["tmp"], rel_file)]))
def _convert_pdf(self, ps2pdf14_path, tmp_paths, file_, pdf_file):
call([ps2pdf14_path, os.path.join(tmp_paths["tmp"], file_), pdf_file])
def _replot_sec_to_pdf(self, vienna_util, tmp_paths,
ps2pdf14_path, prefix):
for file_ in os.listdir(os.getcwd()):
if file_.endswith("ss.ps"):
dot_file = file_.replace("ss.ps", "dp.ps")
rel_file = file_.replace("ss.ps", "rss.ps")
print("replot {0}".format(file_))
self._run_replot(vienna_util, tmp_paths, file_,
dot_file, rel_file)
for file_ in os.listdir(tmp_paths["tmp"]):
if (file_.endswith("rss.ps")) or (file_.endswith("dp.ps")):
pdf_file = file_.replace(".ps", ".pdf")
print("convert {0} to pdf".format(file_))
self._convert_pdf(ps2pdf14_path, tmp_paths,
file_, pdf_file)
os.mkdir(os.path.join(tmp_paths["sec"], prefix))
os.mkdir(os.path.join(tmp_paths["dot"], prefix))
self.helper.move_all_content(
tmp_paths["tmp"], os.path.join(tmp_paths["sec"], prefix),
["rss.pdf"])
self.helper.move_all_content(
tmp_paths["tmp"], os.path.join(tmp_paths["dot"], prefix),
["dp.pdf"])
def _run_mountain(self, vienna_util, tmp_paths, dot_file, out):
call([os.path.join(vienna_util, "mountain.pl"),
os.path.join(tmp_paths["tmp"], dot_file)], stdout=out)
def _plot_mountain(self, mountain, moun_path,
tmp_paths, prefix, vienna_util):
if mountain:
tmp_moun_path = os.path.join(tmp_paths["main"], moun_path)
os.mkdir(os.path.join(tmp_moun_path, prefix))
txt_path = os.path.join(tmp_paths["tmp"], "tmp_txt")
self.helper.check_make_folder(txt_path)
print("Generating mountain plot of {0}....".format(prefix))
for dot_file in os.listdir(tmp_paths["tmp"]):
if dot_file.endswith("dp.ps"):
moun_txt = os.path.join(tmp_paths["tmp"], "mountain.txt")
out = open(moun_txt, "w")
moun_file = dot_file.replace("dp.ps", "mountain.pdf")
print("Generating {0}".format(moun_file))
self._run_mountain(vienna_util, tmp_paths, dot_file, out)
plot_mountain_plot(moun_txt, moun_file)
shutil.move(moun_file,
os.path.join(tmp_moun_path, prefix, moun_file))
out.close()
os.remove(moun_txt)
def _compute_2d_and_energy(self, args_srna, prefixs):
print("Running energy calculation....")
moun_path = os.path.join(args_srna.out_folder, "mountain_plot")
sec_path = os.path.join(args_srna.out_folder, "sec_structure",
"sec_plot")
dot_path = os.path.join(args_srna.out_folder, "sec_structure",
"dot_plot")
self.helper.remove_all_content(sec_path, None, "dir")
self.helper.remove_all_content(dot_path, None, "dir")
self.helper.remove_all_content(moun_path, None, "dir")
for prefix in prefixs:
tmp_paths = self._get_seq_sec(
self.fasta_path, args_srna.out_folder, prefix, sec_path,
dot_path, args_srna.vienna_path)
self._replot_sec_to_pdf(args_srna.vienna_util, tmp_paths,
args_srna.ps2pdf14_path, prefix)
self._plot_mountain(args_srna.mountain, moun_path, tmp_paths,
prefix, args_srna.vienna_util)
self.helper.remove_all_content(os.getcwd(), ".ps", "file")
os.chdir(tmp_paths["main"])
shutil.move("_".join([self.prefixs["energy"], prefix]),
"_".join([self.prefixs["basic"], prefix]))
shutil.rmtree(os.path.join(args_srna.out_folder, "tmp_srna"))
def _run_blast(self, blast_path, program, database, e, seq_file,
blast_file, strand):
call([os.path.join(blast_path, program), "-db", database,
"-evalue", str(e), "-strand", strand, "-query", seq_file,
"-out", blast_file])
def _get_strand_fasta(self, seq_file, out_folder):
tmp_plus = os.path.join(out_folder, "tmp_plus.fa")
tmp_minus = os.path.join(out_folder, "tmp_minus.fa")
out_p = open(tmp_plus, "w")
out_m = open(tmp_minus, "w")
strand = ""
with open(seq_file) as sh:
for line in sh:
line = line.strip()
if line.startswith(">"):
if line[-1] == "+":
out_p.write(line + "\n")
strand = "plus"
elif line[-1] == "-":
out_m.write(line + "\n")
strand = "minus"
else:
if strand == "plus":
out_p.write(line + "\n")
elif strand == "minus":
out_m.write(line + "\n")
out_p.close()
out_m.close()
return tmp_plus, tmp_minus
def _blast(self, database, database_format, data_type, args_srna,
prefixs, program, database_type, e):
if (database is None):
print("Error: No database assigned!")
else:
if database_format:
self._formatdb(database, data_type, args_srna.out_folder,
args_srna.blast_path, database_type)
for prefix in prefixs:
blast_file = os.path.join(
args_srna.out_folder, "blast_result_and_misc",
"_".join([database_type, "blast", prefix + ".txt"]))
srna_file = "_".join([self.prefixs["basic"], prefix])
out_file = os.path.join(
args_srna.out_folder,
"_".join(["tmp", database_type, prefix]))
print("Running Blast of {0}".format(prefix))
seq_file = os.path.join(
args_srna.out_folder, "_".join(["sRNA_seq", prefix]))
if seq_file not in os.listdir(args_srna.out_folder):
self.helper.get_seq(
srna_file,
os.path.join(self.fasta_path, prefix + ".fa"),
seq_file)
if database_type == "nr":
tmp_plus, tmp_minus = self._get_strand_fasta(
seq_file, args_srna.out_folder)
tmp_blast = os.path.join("tmp_blast.txt")
self._run_blast(args_srna.blast_path, program, database, e,
tmp_plus, tmp_blast, "plus")
self._run_blast(args_srna.blast_path, program, database, e,
tmp_minus, blast_file, "minus")
self.helper.merge_file(tmp_blast, blast_file)
os.remove(tmp_blast)
os.remove(tmp_plus)
os.remove(tmp_minus)
else:
self._run_blast(args_srna.blast_path, program, database, e,
seq_file, blast_file, "both")
extract_blast(blast_file, srna_file, out_file,
out_file + ".csv", database_type)
shutil.move(out_file, srna_file)
def _class_srna(self, prefixs, args_srna):
if (len(args_srna.import_info) != 1) or (
len(args_srna.import_info) != 0):
for prefix in prefixs:
print("classifying sRNA of {0}".format(prefix))
class_gff = os.path.join(self.gff_output, "for_class")
class_table = os.path.join(self.table_output, "for_class")
self.helper.check_make_folder(os.path.join(class_table,
prefix))
self.helper.check_make_folder(os.path.join(class_gff, prefix))
class_gff = os.path.join(class_gff, prefix)
class_table = os.path.join(class_table, prefix)
self.helper.check_make_folder(class_table)
self.helper.check_make_folder(class_gff)
out_stat = os.path.join(
self.stat_path, "_".join([
"stat_sRNA_class", prefix + ".csv"]))
classify_srna(os.path.join(self.all_best["all_gff"],
"_".join([prefix, "sRNA.gff"])), class_gff,
out_stat, args_srna)
for srna in os.listdir(class_gff):
out_table = os.path.join(
class_table, srna.replace(".gff", ".csv"))
gen_srna_table(
os.path.join(class_gff, srna),
"_".join([self.prefixs["merge_table"], prefix]),
"_".join([self.tmps["nr"], prefix + ".csv"]),
"_".join([self.tmps["srna"], prefix + ".csv"]),
args_srna, out_table)
def _get_best_result(self, prefixs, args_srna):
for prefix in prefixs:
best_gff = os.path.join(self.all_best["best_gff"],
"_".join([prefix, "sRNA.gff"]))
best_table = os.path.join(self.all_best["best_table"],
"_".join([prefix, "sRNA.csv"]))
gen_best_srna(os.path.join(self.all_best["all_gff"],
"_".join([prefix, "sRNA.gff"])),
best_gff, args_srna)
gen_srna_table(os.path.join(self.all_best["best_gff"],
"_".join([prefix, "sRNA.gff"])),
"_".join([self.prefixs["merge_table"], prefix]),
"_".join([self.tmps["nr"], prefix + ".csv"]),
"_".join([self.tmps["srna"], prefix + ".csv"]),
args_srna, best_table)
def _remove_file(self, args_srna):
self.helper.remove_all_content(args_srna.out_folder, "tmp_", "dir")
self.helper.remove_all_content(args_srna.out_folder, "tmp_", "file")
self.helper.remove_tmp(args_srna.fastas)
self.helper.remove_tmp(args_srna.gffs)
if args_srna.frag_wigs is not None:
self.helper.remove_tmp(args_srna.frag_wigs)
if args_srna.tex_wigs is not None:
self.helper.remove_tmp(args_srna.tex_wigs)
if (args_srna.frag_wigs is not None) and (
args_srna.tex_wigs is not None):
shutil.rmtree(args_srna.merge_wigs)
self.helper.remove_tmp(args_srna.trans)
if args_srna.tss_folder is not None:
self.helper.remove_tmp(args_srna.tss_folder)
if args_srna.pro_folder is not None:
self.helper.remove_tmp(args_srna.pro_folder)
if args_srna.sorf_file is not None:
self.helper.remove_tmp(args_srna.sorf_file)
if "tmp_median" in os.listdir(args_srna.out_folder):
os.remove(os.path.join(args_srna.out_folder, "tmp_median"))
if self.term_path is not None:
self.helper.remove_tmp(args_srna.terms)
def _filter_srna(self, args_srna, prefixs):
if "sec_str" in args_srna.import_info:
self._compute_2d_and_energy(args_srna, prefixs)
if "blast_nr" in args_srna.import_info:
self._blast(args_srna.nr_database, args_srna.nr_format, "prot",
args_srna, prefixs, "blastx", "nr", args_srna.e_nr)
if "blast_srna" in args_srna.import_info:
self._blast(args_srna.srna_database, args_srna.srna_format, "nucl",
args_srna, prefixs, "blastn", "sRNA", args_srna.e_srna)
if "sorf" in args_srna.import_info:
for prefix in prefixs:
if ("_".join([prefix, "sORF.gff"]) in
os.listdir(self.sorf_path)):
tmp_srna = os.path.join(args_srna.out_folder,
"".join(["tmp_srna_sorf", prefix]))
tmp_sorf = os.path.join(args_srna.out_folder,
"".join(["tmp_sorf_srna", prefix]))
srna_sorf_comparison(
"_".join([self.prefixs["basic"], prefix]),
os.path.join(self.sorf_path,
"_".join([prefix, "sORF.gff"])),
tmp_srna, tmp_sorf)
os.remove(tmp_sorf)
shutil.move(tmp_srna,
"_".join([self.prefixs["basic"], prefix]))
def _import_info_format(self, import_info):
new_info = []
for info in import_info:
info = info.lower()
new_info.append(info)
return new_info
def _gen_table(self, prefixs, args_srna):
for prefix in prefixs:
out_table = os.path.join(self.all_best["all_table"],
"_".join([prefix, "sRNA.csv"]))
gen_srna_table(os.path.join(self.all_best["all_gff"],
"_".join([prefix, "sRNA.gff"])),
"_".join([self.prefixs["merge_table"], prefix]),
"_".join([self.tmps["nr"], prefix + ".csv"]),
"_".join([self.tmps["srna"], prefix + ".csv"]),
args_srna, out_table)
def _print_rank_all(self, prefixs):
for prefix in prefixs:
all_table = os.path.join(self.all_best["all_table"],
"_".join([prefix, "sRNA.csv"]))
best_table = os.path.join(self.all_best["best_table"],
"_".join([prefix, "sRNA.csv"]))
print_rank_all(all_table, best_table)
def _filter_min_utr(self, prefixs, min_utr):
for prefix in prefixs:
filter_utr(os.path.join(self.all_best["all_gff"],
"_".join([prefix, "sRNA.gff"])),
os.path.join(self.all_best["all_table"],
"_".join([prefix, "sRNA.csv"])), min_utr)
def _antisense(self, gffs, prefixs):
for prefix in prefixs:
all_table = os.path.join(self.all_best["all_table"],
"_".join([prefix, "sRNA.csv"]))
best_table = os.path.join(self.all_best["best_table"],
"_".join([prefix, "sRNA.csv"]))
all_gff = os.path.join(self.all_best["all_gff"],
"_".join([prefix, "sRNA.gff"]))
best_gff = os.path.join(self.all_best["best_gff"],
"_".join([prefix, "sRNA.gff"]))
srna_antisense(all_gff, all_table,
os.path.join(gffs, prefix + ".gff"))
srna_antisense(best_gff, best_table,
os.path.join(gffs, prefix + ".gff"))
def _blast_stat(self, stat_path, srna_tables):
for srna_table in os.listdir(os.path.join(srna_tables, "best")):
out_srna_blast = os.path.join(
stat_path, "stat_" +
srna_table.replace(".csv", "_blast.csv"))
blast_class(os.path.join(srna_tables, "best", srna_table),
out_srna_blast)
def _compare_term_promoter(self, out_table, prefix, args_srna):
if ("term" in args_srna.import_info) and (
self.term_path is not None):
compare_srna_term(os.path.join(self.all_best["all_gff"],
"_".join([prefix, "sRNA.gff"])),
out_table, os.path.join(self.term_path,
"_".join([prefix, "term.gff"])),
args_srna.fuzzy_b, args_srna.fuzzy_a)
if ("promoter" in args_srna.import_info) and (
args_srna.promoter_table is not None) and (
"tss" in args_srna.import_info):
compare_srna_promoter(os.path.join(self.all_best["all_gff"],
"_".join([prefix, "sRNA.gff"])),
out_table, args_srna)
def run_srna_detection(self, args_srna):
self._check_necessary_file(args_srna)
self.multiparser.parser_gff(args_srna.trans, "transcript")
self.multiparser.combine_gff(args_srna.gffs, self.tran_path,
None, "transcript")
args_srna.import_info = self._import_info_format(args_srna.import_info)
prefixs = self._run_program(args_srna)
self._filter_srna(args_srna, prefixs)
for prefix in prefixs:
shutil.copyfile("_".join([self.prefixs["basic"], prefix]),
os.path.join(self.all_best["all_gff"],
"_".join([prefix, "sRNA.gff"])))
self._compare_term_promoter("_".join([self.prefixs["merge_table"],
prefix]), prefix, args_srna)
self._gen_table(prefixs, args_srna)
self._class_srna(prefixs, args_srna)
self._get_best_result(prefixs, args_srna)
self._print_rank_all(prefixs)
if "blast_srna" in args_srna.import_info:
self._blast_stat(self.stat_path, self.table_output)
self._remove_file(args_srna)
class OperonDetection(object):
'''detection of operon'''
def __init__(self, args_op):
self.multiparser = Multiparser()
self.helper = Helper()
if args_op.tsss is not None:
self.tss_path = os.path.join(args_op.tsss, "tmp")
else:
self.tss_path = None
self.tran_path = os.path.join(args_op.trans, "tmp")
self.table_path = os.path.join(args_op.output_folder, "tables")
if args_op.terms is not None:
self._check_gff(args_op.terms, "term")
self.term_path = os.path.join(args_op.terms, "tmp")
else:
self.term_path = None
def _check_gff(self, gffs, type_):
for gff in os.listdir(gffs):
if gff.endswith(".gff"):
self.helper.check_uni_attributes(os.path.join(gffs, gff))
def _detect_operon(self, prefixs, args_op, log):
log.write("Running detect_operon.py to detect operon.\n")
log.write("The the following files are generated:\n")
for prefix in prefixs:
out_gff = os.path.join(args_op.output_folder, "gffs",
"_".join([prefix, "operon.gff"]))
out_table = os.path.join(self.table_path,
"_".join([prefix, "operon.csv"]))
print("Detecting operons of {0}".format(prefix))
if self.tss_path is None:
tss = False
else:
tss = self.helper.get_correct_file(
self.tss_path, "_TSS.gff", prefix, None, None)
tran = self.helper.get_correct_file(
self.tran_path, "_transcript.gff", prefix, None, None)
gff = self.helper.get_correct_file(
args_op.gffs, ".gff", prefix, None, None)
if self.term_path is None:
term = False
else:
term = self.helper.get_correct_file(
self.term_path, "_term.gff", prefix, None, None)
operon(tran, tss, gff, term, args_op.tss_fuzzy,
args_op.term_fuzzy, args_op.length, out_table, out_gff)
log.write("\t" + out_table + "\n")
log.write("\t" + out_gff + "\n")
def _check_and_parser_gff(self, args_op):
self._check_gff(args_op.gffs, "gff")
self._check_gff(args_op.trans, "tran")
self.multiparser.parser_gff(args_op.gffs, None)
self.multiparser.parser_gff(args_op.trans, "transcript")
self.multiparser.combine_gff(args_op.gffs, self.tran_path,
None, "transcript")
if args_op.tsss is not None:
self._check_gff(args_op.tsss, "tss")
self.multiparser.parser_gff(args_op.tsss, "TSS")
self.multiparser.combine_gff(args_op.gffs, self.tss_path, None, "TSS")
if args_op.terms is not None:
self._check_gff(args_op.terms, "term")
self.multiparser.parser_gff(args_op.terms, "term")
self.multiparser.combine_gff(args_op.gffs, self.term_path,
None, "term")
def _stat(self, table_path, stat_folder, log):
log.write("Running stat_operon.py to do statistics.\n")
for table in os.listdir(table_path):
if table.endswith("_operon.csv"):
filename = "_".join(["stat", table])
out_stat = os.path.join(stat_folder, filename)
stat(os.path.join(table_path, table), out_stat)
log.write("\t" + out_stat + "\n")
def run_operon(self, args_op, log):
self._check_and_parser_gff(args_op)
prefixs = []
for gff in os.listdir(args_op.gffs):
if gff.endswith(".gff"):
prefixs.append(gff.replace(".gff", ""))
self._detect_operon(prefixs, args_op, log)
self._stat(self.table_path, args_op.stat_folder, log)
self.helper.remove_tmp_dir(args_op.gffs)
self.helper.remove_tmp_dir(args_op.tsss)
self.helper.remove_tmp_dir(args_op.trans)
if args_op.terms is not None:
self.helper.remove_tmp_dir(args_op.terms)
class OperonDetection(object):
def __init__(self, args_op):
self.multiparser = Multiparser()
self.helper = Helper()
self.tss_path = os.path.join(args_op.tsss, "tmp")
self.tran_path = os.path.join(args_op.trans, "tmp")
self.utr5_path = os.path.join(args_op.utr5s, "tmp")
self.utr3_path = os.path.join(args_op.utr3s, "tmp")
self.table_path = os.path.join(args_op.output_folder, "tables")
if args_op.terms is not None:
self._check_gff(args_op.terms, "term")
self.term_path = os.path.join(args_op.terms, "tmp")
else:
self.term_path = None
def _check_gff(self, gffs, type_):
for gff in os.listdir(gffs):
if gff.endswith(".gff"):
self.helper.check_uni_attributes(os.path.join(gffs, gff))
def _detect_operon(self, prefixs, args_op):
for prefix in prefixs:
out_table = os.path.join(self.table_path,
"_".join(["operon", prefix + ".csv"]))
print("Detection operons of {0}".format(prefix))
tss = self.helper.get_correct_file(
self.tss_path, "_TSS.gff", prefix, None, None)
tran = self.helper.get_correct_file(
self.tran_path, "_transcript.gff", prefix, None, None)
gff = self.helper.get_correct_file(
args_op.gffs, ".gff", prefix, None, None)
if self.term_path is None:
term = False
else:
term = self.helper.get_correct_file(
self.term_path, "_term.gff", prefix, None, None)
operon(tran, tss, gff, term, args_op.tss_fuzzy,
args_op.term_fuzzy, args_op.length, out_table)
def _check_and_parser_gff(self, args_op):
self._check_gff(args_op.tsss, "tss")
self._check_gff(args_op.gffs, "gff")
self._check_gff(args_op.trans, "tran")
self._check_gff(args_op.utr5s, "utr")
self._check_gff(args_op.utr3s, "utr")
self.multiparser.parser_gff(args_op.gffs, None)
self.multiparser.parser_gff(args_op.tsss, "TSS")
self.multiparser.combine_gff(args_op.gffs, self.tss_path, None, "TSS")
self.multiparser.parser_gff(args_op.trans, "transcript")
self.multiparser.combine_gff(args_op.gffs, self.tran_path,
None, "transcript")
self.multiparser.parser_gff(args_op.utr5s, "5UTR")
self.multiparser.combine_gff(args_op.gffs, self.utr5_path,
None, "5UTR")
self.multiparser.parser_gff(args_op.utr3s, "3UTR")
self.multiparser.combine_gff(args_op.gffs, self.utr3_path,
None, "3UTR")
if args_op.terms is not None:
self._check_gff(args_op.terms, "term")
self.multiparser.parser_gff(args_op.terms, "term")
self.multiparser.combine_gff(args_op.gffs, self.term_path,
None, "term")
def _stat(self, table_path, stat_folder):
for table in os.listdir(table_path):
if table.startswith("operon_") and table.endswith(".csv"):
filename = "_".join(["stat", table])
out_stat = os.path.join(stat_folder, filename)
stat(os.path.join(table_path, table), out_stat)
def _combine_gff(self, prefixs, args_op):
for prefix in prefixs:
out_file = os.path.join(args_op.output_folder, "gffs",
"_".join([prefix, "all_features.gff"]))
print("Combine all features of {0}".format(prefix))
tss = self.helper.get_correct_file(
self.tss_path, "_TSS.gff", prefix, None, None)
tran = self.helper.get_correct_file(
self.tran_path, "_transcript.gff", prefix, None, None)
gff = self.helper.get_correct_file(
args_op.gffs, ".gff", prefix, None, None)
utr5 = self.helper.get_correct_file(
self.utr5_path, "_5UTR.gff", prefix, None, None)
utr3 = self.helper.get_correct_file(
self.utr3_path, "_3UTR.gff", prefix, None, None)
if self.term_path is None:
term = None
else:
term = self.helper.get_correct_file(
self.term_path, "_term.gff", prefix, None, None)
combine_gff(gff, tran, tss, utr5, utr3, term,
args_op.tss_fuzzy, args_op.term_fuzzy, out_file)
def run_operon(self, args_op):
self._check_and_parser_gff(args_op)
prefixs = []
for gff in os.listdir(args_op.gffs):
if gff.endswith(".gff"):
prefixs.append(gff.replace(".gff", ""))
self._detect_operon(prefixs, args_op)
if args_op.statistics:
self._stat(self.table_path, args_op.stat_folder)
if args_op.combine:
self._combine_gff(prefixs, args_op)
self.helper.remove_tmp(args_op.gffs)
self.helper.remove_tmp(args_op.utr3s)
self.helper.remove_tmp(args_op.utr5s)
self.helper.remove_tmp(args_op.tsss)
self.helper.remove_tmp(args_op.trans)
if args_op.terms is not None:
self.helper.remove_tmp(args_op.terms)
class SubLocal(object):
def __init__(self, args_sub):
self.multiparser = Multiparser()
self.helper = Helper()
self.fixer = FormatFixer()
self.gff_path = os.path.join(args_sub.gffs, "tmp")
self.fasta_path = os.path.join(args_sub.fastas, "tmp")
if args_sub.trans is not None:
self.tran_path = os.path.join(args_sub.trans, "tmp")
else:
self.tran_path = None
self.out_all = os.path.join(args_sub.out_folder, "all_CDS")
self.out_express = os.path.join(args_sub.out_folder, "expressed_CDS")
self.all_tmp_path = os.path.join(self.out_all, "tmp")
self.express_tmp_path = os.path.join(self.out_express, "tmp")
self.all_stat_path = os.path.join(self.out_all, "statistics")
self.express_stat_path = os.path.join(self.out_express, "statistics")
self.all_tmp_result = os.path.join(self.out_all, "tmp_results")
self.express_tmp_result = os.path.join(self.out_express, "tmp_results")
self.all_result = os.path.join(self.out_all, "psortb_results")
self.express_result = os.path.join(self.out_express, "psortb_results")
self.endfix_table = "table.csv"
self.endfix_raw = "raw.txt"
self._make_folder()
def _make_folder(self):
self.helper.check_make_folder(self.out_all)
self.helper.check_make_folder(self.out_express)
self.helper.check_make_folder(self.all_stat_path)
self.helper.check_make_folder(self.express_stat_path)
self.helper.check_make_folder(self.all_result)
self.helper.check_make_folder(self.express_result)
def _compare_cds_tran(self, gff_file, tran_file):
out = open(os.path.join(self.out_all, "tmp_cds.gff"), "w")
cdss = []
fh = open(gff_file)
th = open(tran_file)
for entry in Gff3Parser().entries(fh):
if entry.feature == "CDS":
cdss.append(entry)
trans = []
for entry in Gff3Parser().entries(th):
trans.append(entry)
for cds in cdss:
for ta in trans:
if (cds.strand == ta.strand) and (
cds.seq_id == ta.seq_id):
if ((cds.end < ta.end) and (
cds.end > ta.start) and (
cds.start <= ta.start)) or (
(cds.start > ta.start) and (
cds.start < ta.end) and (
cds.end >= ta.end)) or (
(cds.end >= ta.end) and (
cds.start <= ta.start)) or (
(cds.end <= ta.end) and (
cds.start >= ta.start)):
out.write(cds.info + "\n")
break
fh.close()
th.close()
out.close()
def _get_protein_seq(self, gff, tmp_path, tran_path):
prefix = gff.replace(".gff", "")
fasta = self.helper.get_correct_file(self.fasta_path, ".fa",
prefix, None, None)
dna_seq_file = os.path.join(tmp_path, "_".join([prefix, "dna.fa"]))
print("Generate CDS fasta files of {0}".format(prefix))
if tran_path is not None:
self._compare_cds_tran(os.path.join(self.gff_path, gff),
os.path.join(tran_path, "_".join([
prefix, "transcript.gff"])))
self.helper.get_cds_seq(os.path.join(self.out_all, "tmp_cds.gff"),
fasta, dna_seq_file)
os.remove(os.path.join(self.out_all, "tmp_cds.gff"))
else:
self.helper.get_cds_seq(os.path.join(self.gff_path, gff),
fasta, dna_seq_file)
print("transfer DNA seq to protein seq of {0}".format(prefix))
self.helper.translation(dna_seq_file, "tmp")
prot_seq_file = os.path.join(
tmp_path, "_".join([prefix, "protein.fa"]))
self.fixer.fix_emboss("tmp", prot_seq_file)
os.remove("tmp")
return prefix
def _psortb(self, psortb_path, strain_type, prot_seq_file,
out_raw, out_err):
call([psortb_path, strain_type, prot_seq_file],
stdout=out_raw, stderr=out_err)
def _run_psortb(self, args_sub, prefix, out_folder, tmp_path, tmp_result):
print("Running psortb of {0}".format(prefix))
out_err = open(os.path.join(out_folder, "tmp_log"), "w")
out_raw = open(os.path.join(tmp_result,
"_".join([prefix, self.endfix_raw])), "w")
prot_seq_file = os.path.join(tmp_path,
"_".join([prefix, "protein.fa"]))
if args_sub.gram == "positive":
self._psortb(args_sub.psortb_path, "-p", prot_seq_file,
out_raw, out_err)
elif args_sub.gram == "negative":
self._psortb(args_sub.psortb_path, "-n", prot_seq_file,
out_raw, out_err)
else:
print("Error:It is not a proper bacteria type - {0}!!".format(
args_sub.gram))
sys.exit()
out_err.close()
out_raw.close()
def _extract_result(self, args_sub, tmp_psortb_path, prefix, gff_file):
if args_sub.merge:
print("Merge to gff...")
extract_psortb(os.path.join(
tmp_psortb_path, "_".join([prefix, self.endfix_raw])),
os.path.join(tmp_psortb_path, "_".join([
prefix, self.endfix_table])),
gff_file, os.path.join(prefix + ".gff"),
args_sub.fuzzy)
shutil.move(prefix + ".gff", gff_file)
else:
extract_psortb(os.path.join(
tmp_psortb_path, "_".join([prefix, self.endfix_raw])),
os.path.join(tmp_psortb_path, "_".join([
prefix, self.endfix_table])),
None, None, args_sub.fuzzy)
def _merge_and_stat(self, gffs, tmp_psortb_path, stat_path, psortb_result):
for folder in os.listdir(gffs):
if folder.endswith(".gff_folder"):
prefix = folder.replace(".gff_folder", "")
self.helper.check_make_folder(
os.path.join(psortb_result, prefix))
merge_table = os.path.join(
psortb_result, prefix,
"_".join([prefix, self.endfix_table]))
for gff in os.listdir(os.path.join(gffs, folder)):
result = self.helper.get_correct_file(
tmp_psortb_path, "_" + self.endfix_raw,
gff.replace(".gff", ""), None, None)
shutil.copy(result, os.path.join(psortb_result, prefix))
result = self.helper.get_correct_file(
tmp_psortb_path, "_" + self.endfix_table,
gff.replace(".gff", ""), None, None)
self.helper.merge_file(result, merge_table)
self.helper.check_make_folder(os.path.join(stat_path, prefix))
stat_sublocal(merge_table,
os.path.join(
stat_path, prefix, prefix),
os.path.join(
stat_path, prefix, "_".join([
"stat", prefix, "sublocal.csv"])))
def _remove_tmps(self, args_sub):
self.helper.remove_tmp(args_sub.fastas)
self.helper.remove_tmp(args_sub.gffs)
self.helper.remove_all_content(args_sub.out_folder, "tmp", "dir")
self.helper.remove_all_content(self.out_all, "tmp", "dir")
self.helper.remove_all_content(self.out_express, "tmp", "dir")
os.remove(os.path.join(self.out_all, "tmp_log"))
if args_sub.trans is not None:
os.remove(os.path.join(self.out_express, "tmp_log"))
def run_sub_local(self, args_sub):
for gff in os.listdir(args_sub.gffs):
if gff.endswith(".gff"):
self.helper.check_uni_attributes(os.path.join(
args_sub.gffs, gff))
self.multiparser.parser_gff(args_sub.gffs, None)
self.multiparser.parser_fasta(args_sub.fastas)
if args_sub.trans is not None:
self.multiparser.parser_gff(args_sub.trans, "transcript")
self.helper.check_make_folder(self.express_tmp_path)
self.helper.check_make_folder(self.express_tmp_result)
self.helper.check_make_folder(self.all_tmp_path)
self.helper.check_make_folder(self.all_tmp_result)
for gff in os.listdir(self.gff_path):
if args_sub.trans is not None:
print("Running expressed gene now...")
prefix = self._get_protein_seq(gff, self.express_tmp_path,
self.tran_path)
self._run_psortb(args_sub, prefix, self.out_express,
self.express_tmp_path,
self.express_tmp_result)
self._extract_result(args_sub, self.express_tmp_result, prefix,
os.path.join(self.gff_path, gff))
print("Running all gene now...")
prefix = self._get_protein_seq(gff, self.all_tmp_path, None)
self._run_psortb(args_sub, prefix, self.out_all,
self.all_tmp_path, self.all_tmp_result)
self._extract_result(args_sub, self.all_tmp_result, prefix,
os.path.join(self.gff_path, gff))
self._merge_and_stat(args_sub.gffs, self.all_tmp_result,
self.all_stat_path, self.all_result)
if args_sub.trans is not None:
self._merge_and_stat(args_sub.gffs, self.express_tmp_result,
self.express_stat_path, self.express_result)
self._remove_tmps(args_sub)
class Terminator(object):
'''detection of terminator'''
def __init__(self, args_term):
self.multiparser = Multiparser()
self.helper = Helper()
self.converter = Converter()
self.gff_parser = Gff3Parser()
self.gff_path = os.path.join(args_term.gffs, "tmp")
self.fasta_path = os.path.join(args_term.fastas, "tmp")
self.tran_path = os.path.join(args_term.trans, "tmp")
self.outfolder = {"term": os.path.join(args_term.out_folder, "gffs"),
"csv": os.path.join(args_term.out_folder, "tables")}
self.terms = {"all": os.path.join(self.outfolder["term"],
"all_candidates"),
"express": os.path.join(self.outfolder["term"],
"expressed_candidates"),
"best": os.path.join(self.outfolder["term"],
"best_candidates"),
"non": os.path.join(self.outfolder["term"],
"non_expressed_candidates")}
self.csvs = {"all": os.path.join(self.outfolder["csv"],
"all_candidates"),
"express": os.path.join(self.outfolder["csv"],
"expressed_candidates"),
"best": os.path.join(self.outfolder["csv"],
"best_candidates"),
"non": os.path.join(self.outfolder["csv"],
"non_expressed_candidates")}
self.combine_path = os.path.join(self.gff_path, "combine")
self.tmps = {"transterm": os.path.join(os.getcwd(), "tmp_transterm"),
"hp": "transtermhp", "hp_gff": "transtermhp.gff",
"hp_path": "tmp_transterm/tmp",
"term_table": os.path.join(os.getcwd(), "tmp_term_table"),
"merge": os.path.join(os.getcwd(), "tmp_merge_gff"),
"gff": "tmp.gff",
"folder": os.path.join(os.getcwd(), "tmp")}
self.suffixs = {"gff": "term.gff", "csv": "term.csv",
"allgff": "term_all.gff"}
if args_term.srnas:
self.srna_path = os.path.join(args_term.srnas, "tmp")
else:
self.srna_path = None
self._make_gff_folder()
def _combine_annotation(self, combine_file, files):
with open(combine_file, 'w') as result:
for file_ in files:
if (file_.endswith(".ptt")) and (os.stat(file_).st_size == 0):
print("Warning: No CDS information, "
"TransTermHP can not work!")
return "NO_CDS"
if os.path.exists(file_) and (
os.stat(file_).st_size != 0):
check_start = False
fh = open(file_, 'r')
for line in fh:
if check_start:
result.write(line)
if "Location" in line:
check_start = True
if "\n" not in line:
result.write("\n")
fh.close()
return "Normal"
def _make_gff_folder(self):
self.helper.check_make_folder(self.terms["all"])
self.helper.check_make_folder(self.csvs["all"])
self.helper.check_make_folder(self.terms["best"])
self.helper.check_make_folder(self.csvs["best"])
self.helper.check_make_folder(self.terms["express"])
self.helper.check_make_folder(self.csvs["express"])
self.helper.check_make_folder(self.terms["non"])
self.helper.check_make_folder(self.csvs["non"])
def _convert_gff2rntptt(self, gff_path, fasta_path, sRNAs, log):
file_types = {}
prefixs = []
for gff in os.listdir(gff_path):
if gff.endswith(".gff"):
filename = gff.split("/")
prefix = filename[-1][:-4]
prefixs.append(prefix)
gff_file = os.path.join(gff_path, gff)
rnt_file = os.path.join(gff_path, gff.replace(".gff", ".rnt"))
ptt_file = os.path.join(gff_path, gff.replace(".gff", ".ptt"))
fasta = self.helper.get_correct_file(
fasta_path, ".fa", prefix, None, None)
if not fasta:
log.write("{0}.fa can not be found.\n".format(prefix))
print("Error: {0}.fa can not be found!".format(prefix))
sys.exit()
if sRNAs:
self.multiparser.parser_gff(sRNAs, "sRNA")
srna = self.helper.get_correct_file(
self.srna_path, "_sRNA.gff", prefix, None, None)
if (srna) and (fasta):
log.write("Running converter.py to convert {0} and "
"{1} to {2}, {3}, and {4}.\n".format(
gff_file, srna, ptt_file, rnt_file,
srna.replace(".gff", ".rnt")))
self.converter.convert_gff2rntptt(
gff_file, fasta, ptt_file, rnt_file, srna,
srna.replace(".gff", ".rnt"))
file_types[prefix] = "srna"
log.write("The following files are generated:\n")
log.write("\t{0}\n\t{1}\n\t{2}\n".format(
ptt_file, rnt_file, srna.replace(".gff", ".rnt")))
if (not srna) and (fasta):
log.write("Running converter.py to convert {0} "
"to {1}, and {2}.\n".format(
gff_file, ptt_file, rnt_file))
self.converter.convert_gff2rntptt(
gff_file, fasta, ptt_file, rnt_file, None, None)
file_types[prefix] = "normal"
log.write("The following files are generated:\n")
log.write("\t{0}\n\t{1}\n".format(ptt_file, rnt_file))
else:
log.write("Running converter.py to convert {0} "
"to {1}, and {2}.\n".format(
gff_file, ptt_file, rnt_file))
self.converter.convert_gff2rntptt(
gff_file, fasta, ptt_file, rnt_file, None, None)
file_types[prefix] = "normal"
log.write("The following files are generated:\n")
log.write("\t{0}\n\t{1}\n".format(ptt_file, rnt_file))
return file_types, prefixs
def _combine_ptt_rnt(self, gff_path, file_types, srna_path):
self.helper.check_make_folder(self.combine_path)
for prefix, file_type in file_types.items():
combine_file = os.path.join(self.combine_path, prefix + '.ptt')
if file_type == "normal":
files = [os.path.join(gff_path, prefix + ".ptt"),
os.path.join(gff_path, prefix + ".rnt")]
check = self._combine_annotation(combine_file, files)
elif file_type == "srna":
files = [os.path.join(gff_path, prefix + ".ptt"),
os.path.join(gff_path, prefix + ".rnt"),
os.path.join(srna_path,
"_".join([prefix, "sRNA.rnt"]))]
check = self._combine_annotation(combine_file, files)
return check
def _TransTermHP(self, fasta, file_, out_path, prefix, out, args_term, log):
call([args_term.TransTermHP_path, "-p", args_term.expterm_path,
fasta, os.path.join(self.combine_path, file_), "--t2t-perf",
os.path.join(out_path, "_".join([
prefix,
"terminators_within_robust_tail-to-tail_regions.t2t"])),
"--bag-output", os.path.join(out_path, "_".join([
prefix, "best_terminator_after_gene.bag"]))],
stdout=out)
log.write(" ".join([args_term.TransTermHP_path, "-p", args_term.expterm_path,
fasta, os.path.join(self.combine_path, file_), "--t2t-perf",
os.path.join(out_path, "_".join([
prefix,
"terminators_within_robust_tail-to-tail_regions.t2t"])),
"--bag-output", os.path.join(out_path, "_".join([
prefix, "best_terminator_after_gene.bag"]))]) + "\n")
def _run_TransTermHP(self, args_term, log):
self.helper.check_make_folder(self.tmps["transterm"])
log.write("Running TransTermHP.\n")
log.write("Make sure the version is at least 2.09.\n")
for file_ in os.listdir(self.combine_path):
if ".ptt" in file_:
prefix = file_.replace(".ptt", "")
fasta = self.helper.get_correct_file(
self.fasta_path, ".fa", prefix, None, None)
if not fasta:
log.write("{0}.fa can not be found!.\n".format(prefix))
print("Error: {0}.fa can not be found!".format(prefix))
sys.exit()
out_path = os.path.join(args_term.hp_folder, prefix)
self.helper.check_make_folder(out_path)
out = open(os.path.join(out_path,
"_".join([prefix, "terminators.txt"])), "w")
self._TransTermHP(fasta, file_, out_path,
prefix, out, args_term, log)
log.write("Done!\n")
log.write("The following files are generated in {0}.\n".format(
out_path))
for file_ in os.listdir(out_path):
log.write("\t" + file_ + "\n")
out.close()
shutil.rmtree(self.combine_path)
def _convert_to_gff(self, prefixs, args_term, log):
log.write("Running coverter.py to convert the results of TransTermHP "
"to gff3 format.\n")
for prefix in prefixs:
for folder in os.listdir(args_term.hp_folder):
if prefix == folder:
out_path = os.path.join(args_term.hp_folder, folder)
for file_ in os.listdir(out_path):
if file_.endswith(".bag"):
out_file = os.path.join(
self.tmps["transterm"],
"_".join([prefix, self.tmps["hp_gff"]]))
self.converter.convert_transtermhp2gff(
os.path.join(out_path, file_), out_file)
log.write("\t" + out_file + " is generated.\n")
self.multiparser.combine_gff(args_term.gffs, self.tmps["transterm"],
None, self.tmps["hp"])
def _combine_wigs(self, args_term):
if (args_term.tex_wigs is not None) and (
args_term.frag_wigs is not None):
folder = args_term.tex_wigs.split("/")
folder = "/".join(folder[:-1])
merge_wigs = os.path.join(folder, "merge_wigs")
self.helper.check_make_folder(merge_wigs)
for wig in os.listdir(args_term.tex_wigs):
if os.path.isdir(os.path.join(args_term.tex_wigs, wig)):
pass
else:
shutil.copy(os.path.join(args_term.tex_wigs, wig),
merge_wigs)
for wig in os.listdir(args_term.frag_wigs):
if os.path.isdir(os.path.join(args_term.frag_wigs, wig)):
pass
else:
shutil.copy(os.path.join(args_term.frag_wigs, wig),
merge_wigs)
elif (args_term.tex_wigs is not None):
merge_wigs = args_term.tex_wigs
elif (args_term.frag_wigs is not None):
merge_wigs = args_term.frag_wigs
else:
print("Error: Wiggle files are not assigned!")
sys.exit()
return merge_wigs
def _merge_sRNA(self, sRNAs, prefixs, gff_path):
'''searching the terminator with sRNA information'''
if sRNAs is not None:
self.multiparser.parser_gff(sRNAs, "sRNA")
self.helper.check_make_folder(self.tmps["merge"])
for prefix in prefixs:
tmp_gff = os.path.join(self.tmps["merge"], self.tmps["gff"])
if self.tmps["gff"] in os.listdir(self.tmps["merge"]):
os.remove(tmp_gff)
self.helper.merge_file(os.path.join(gff_path, prefix + ".gff"),
tmp_gff)
self.helper.merge_file(os.path.join(
self.srna_path, "_".join([prefix, "sRNA.gff"])), tmp_gff)
self.helper.sort_gff(tmp_gff, os.path.join(
self.tmps["merge"], prefix + ".gff"))
os.remove(tmp_gff)
merge_path = self.tmps["merge"]
else:
merge_path = gff_path
return merge_path
def _move_file(self, term_outfolder, csv_outfolder):
for gff in os.listdir(term_outfolder):
if gff.endswith("_term.gff"):
self.helper.sort_gff(os.path.join(term_outfolder, gff),
self.tmps["gff"])
shutil.move(self.tmps["gff"],
os.path.join(term_outfolder, gff))
prefix = gff.replace("_term.gff", "")
new_gff = os.path.join(self.terms["all"], "_".join([
prefix, self.suffixs["allgff"]]))
csv_file = os.path.join(
os.path.join(self.csvs["all"], "_".join([
prefix, self.suffixs["csv"]])))
out = open(new_gff, "w")
out.write("##gff-version 3\n")
out.close()
self.helper.merge_file(
os.path.join(term_outfolder, gff),
os.path.join(
self.terms["all"], "_".join([
prefix, self.suffixs["allgff"]])))
os.remove(os.path.join(term_outfolder, gff))
pre_strain = ""
if ("_".join([prefix, self.suffixs["csv"]]) in
os.listdir(self.csvs["all"])):
os.remove(csv_file)
out_csv = open(csv_file, "w")
out_csv.write("\t".join(["Genome", "Name", "Start", "End",
"Strand", "Detect", "Coverage_decrease",
"Coverage_detail"]) + "\n")
out_csv.close()
fh = open(new_gff)
for entry in self.gff_parser.entries(fh):
if entry.seq_id != pre_strain:
self.helper.merge_file(os.path.join(
self.tmps["term_table"], "_".join([
entry.seq_id, "term_raw.csv"])),
os.path.join(self.csvs["all"], "_".join([
prefix, self.suffixs["csv"]])))
pre_strain = entry.seq_id
fh.close()
def _run_rnafold(self, RNAfold_path, tmp_seq, tmp_sec, prefix, log):
log.write("Computing secondray structures of {0}.\n".format(prefix))
log.write("Make sure the version of Vienna RNA package is at least 2.3.2.\n")
print("Computing secondray structures of {0}".format(prefix))
self.helper.check_make_folder(self.tmps["folder"])
pre_cwd = os.getcwd()
os.chdir(self.tmps["folder"])
log.write(" ".join([RNAfold_path, "<", os.path.join("..", tmp_seq),
">", os.path.join("..", tmp_sec)]) + "\n")
os.system(" ".join([RNAfold_path, "<", os.path.join("..", tmp_seq),
">", os.path.join("..", tmp_sec)]))
log.write("Done!\n")
log.write("\t" + tmp_sec + " is generated for storing secondary "
"structure.\n")
os.chdir(pre_cwd)
shutil.rmtree(self.tmps["folder"])
def _compute_intersection_forward_reverse(
self, prefixs, merge_path, wig_path, merge_wigs, args_term, log):
'''the approach for searching gene converged region terminator'''
log.write("Searching terminators which located in gene converged "
"region.\n")
for prefix in prefixs:
tmp_seq = os.path.join(args_term.out_folder,
"_".join(["inter_seq", prefix]))
tmp_index = os.path.join(args_term.out_folder,
"_".join(["inter_index", prefix]))
tmp_sec = os.path.join(args_term.out_folder,
"_".join(["inter_sec", prefix]))
tran_file = os.path.join(self.tran_path,
"_".join([prefix, "transcript.gff"]))
gff_file = os.path.join(merge_path, prefix + ".gff")
tmp_cand = tmp_cand = os.path.join(args_term.out_folder,
"_".join(["term_candidates", prefix]))
if os.path.exists(tran_file):
print("Extracting sequences of {0}".format(prefix))
log.write("Running get_inter_seq.py to extract the potential "
"sequences from {0}.\n".format(prefix))
intergenic_seq(os.path.join(self.fasta_path, prefix + ".fa"),
tran_file, gff_file, tmp_seq, tmp_index, args_term)
log.write("\t" + tmp_seq + " is generated for storing the "
"potential sequences.\n")
self._run_rnafold(args_term.RNAfold_path, tmp_seq, tmp_sec,
prefix, log)
log.write("Running extract_sec_info.py to extract the "
"information of secondary structure from {0}.\n".format(
prefix))
extract_info_sec(tmp_sec, tmp_seq, tmp_index)
os.remove(tmp_index)
log.write("Running get_polyT.py to detect the "
"terminator candidates for {0}.\n".format(prefix))
poly_t(tmp_seq, tmp_sec, gff_file, tran_file, tmp_cand, args_term)
log.write("\t" + tmp_cand + " which temporary stores terminator "
"candidates is generated.\n")
print("Detecting terminators for " + prefix)
log.write("Running detect_coverage_term.py to gain "
"high-confidence terminators for {0}.\n".format(prefix))
detect_coverage(
tmp_cand, os.path.join(merge_path, prefix + ".gff"),
os.path.join(self.tran_path, "_".join([
prefix, "transcript.gff"])),
os.path.join(self.fasta_path, prefix + ".fa"),
os.path.join(wig_path, "_".join([prefix, "forward.wig"])),
os.path.join(wig_path, "_".join([prefix, "reverse.wig"])),
os.path.join(self.tmps["hp_path"], "_".join([
prefix, self.tmps["hp_gff"]])), merge_wigs,
os.path.join(self.outfolder["term"], "_".join([
prefix, self.suffixs["gff"]])),
os.path.join(self.tmps["term_table"], "_".join([
prefix, "term_raw.csv"])), args_term)
self.multiparser.combine_gff(args_term.gffs, self.outfolder["term"],
None, "term")
self._move_file(self.outfolder["term"], self.outfolder["csv"])
def _remove_tmp_file(self, merge_wigs, args_term):
self.helper.remove_tmp_dir(args_term.gffs)
self.helper.remove_tmp_dir(args_term.fastas)
if args_term.srnas is not None:
self.helper.remove_tmp(args_term.srnas)
shutil.rmtree(self.tmps["merge"])
if (args_term.tex_wigs is not None) and (
args_term.frag_wigs is not None):
shutil.rmtree(merge_wigs)
self.helper.remove_tmp_dir(args_term.trans)
if "tmp_wig" in os.listdir(args_term.out_folder):
shutil.rmtree(os.path.join(args_term.out_folder, "tmp_wig"))
self.helper.remove_tmp(self.outfolder["term"])
shutil.rmtree(self.tmps["transterm"])
shutil.rmtree(self.tmps["term_table"])
self.helper.remove_all_content(args_term.out_folder,
"inter_seq_", "file")
self.helper.remove_all_content(self.outfolder["term"],
"_term.gff", "file")
self.helper.remove_all_content(args_term.out_folder,
"inter_sec_", "file")
self.helper.remove_all_content(args_term.out_folder,
"term_candidates_", "file")
def _compute_stat(self, args_term, log):
new_prefixs = []
for gff in os.listdir(self.terms["all"]):
if gff.endswith("_term_all.gff"):
out_tmp = open(self.tmps["gff"], "w")
out_tmp.write("##gff-version 3\n")
new_prefix = gff.replace("_term_all.gff", "")
new_prefixs.append(gff.replace("_term_all.gff", ""))
num = 0
fh = open(os.path.join(self.terms["all"], gff))
for entry in self.gff_parser.entries(fh):
name = '%0*d' % (5, num)
entry.attributes["ID"] = (
entry.seq_id + "_terminator" + str(num))
entry.attributes["Name"] = "_".join(["terminator_" + name])
entry.attribute_string = ";".join([
"=".join(items) for items in entry.attributes.items()])
out_tmp.write("\t".join([entry.info_without_attributes,
entry.attribute_string]) + "\n")
num += 1
out_tmp.close()
fh.close()
shutil.move(self.tmps["gff"], os.path.join(self.terms["all"],
"_".join([new_prefix, self.suffixs["gff"]])))
log.write("Running stat_term.py to do statistics.\n")
stat_path = os.path.join(args_term.out_folder, "statistics")
log.write("The following files are generated:\n")
for prefix in new_prefixs:
stat_term(os.path.join(self.terms["all"],
"_".join([prefix, self.suffixs["gff"]])),
os.path.join(self.csvs["all"],
"_".join([prefix, self.suffixs["csv"]])),
os.path.join(stat_path,
"_".join(["stat", prefix + ".csv"])),
os.path.join(self.terms["best"],
"_".join([prefix, "term"])),
os.path.join(self.terms["express"],
"_".join([prefix, "term"])),
os.path.join(self.terms["non"],
"_".join([prefix, "term"])))
shutil.move(os.path.join(self.terms["best"],
"_".join([prefix, self.suffixs["csv"]])),
os.path.join(self.csvs["best"],
"_".join([prefix, self.suffixs["csv"]])))
shutil.move(os.path.join(self.terms["express"],
"_".join([prefix, self.suffixs["csv"]])),
os.path.join(self.csvs["express"],
"_".join([prefix, self.suffixs["csv"]])))
shutil.move(os.path.join(self.terms["non"],
"_".join([prefix, self.suffixs["csv"]])),
os.path.join(self.csvs["non"],
"_".join([prefix, self.suffixs["csv"]])))
os.remove(os.path.join(self.terms["all"],
"_".join([prefix, self.suffixs["allgff"]])))
log.write("\t" + os.path.join(self.terms["all"],
"_".join([prefix, self.suffixs["gff"]])) + "\n")
log.write("\t" + os.path.join(self.terms["best"],
"_".join([prefix, self.suffixs["gff"]])) + "\n")
log.write("\t" + os.path.join(self.terms["express"],
"_".join([prefix, self.suffixs["gff"]])) + "\n")
log.write("\t" + os.path.join(self.terms["non"],
"_".join([prefix, self.suffixs["gff"]])) + "\n")
log.write("\t" + os.path.join(self.csvs["all"],
"_".join([prefix, self.suffixs["csv"]])) + "\n")
log.write("\t" + os.path.join(stat_path,
"_".join(["stat", prefix + ".csv"])) + "\n")
log.write("\t" + os.path.join(self.csvs["best"],
"_".join([prefix, self.suffixs["csv"]])) + "\n")
log.write("\t" + os.path.join(self.csvs["express"],
"_".join([prefix, self.suffixs["csv"]])) + "\n")
log.write("\t" + os.path.join(self.csvs["non"],
"_".join([prefix, self.suffixs["csv"]])) + "\n")
def _check_gff_file(self, folder):
for file_ in os.listdir(folder):
if file_.endswith(".gff"):
self.helper.check_uni_attributes(os.path.join(folder, file_))
def _compare_term_tran(self, args_term, prefixs, log):
'''searching the associated terminator to transcript'''
self.multiparser.combine_gff(args_term.gffs, self.tran_path,
None, "transcript")
prefixs = []
print("Comparing terminators with transcripts now")
for file_ in os.listdir(self.tran_path):
if file_.endswith("_transcript.gff"):
prefixs.append(file_.replace("_transcript.gff", ""))
log.write("Running compare_tran_term.py for comparing transcripts "
"and terminators.\n")
log.write("The following files are generated:\n")
for type_ in ("best_candidates", "expressed_candidates",
"all_candidates"):
compare_term_tran(self.tran_path,
os.path.join(self.outfolder["term"], type_),
args_term.fuzzy_up_ta, args_term.fuzzy_down_ta,
args_term.out_folder, "terminator",
self.outfolder["term"], args_term.trans)
for prefix in prefixs:
shutil.move(
os.path.join(
args_term.out_folder, "statistics",
"stat_compare_transcript_terminator_" + prefix + ".csv"),
os.path.join(
args_term.out_folder, "statistics",
"_".join(["stat_compare_terminator_transcript", prefix,
type_ + ".csv"])))
log.write("\t" + os.path.join(
args_term.out_folder, "statistics",
"_".join(["stat_compare_terminator_transcript", prefix,
type_ + ".csv"])) + "\n")
def _re_table(self, args_term, prefixs, log):
log.write("Running re_table.py to generate coverage information.\n")
log.write("The following files are updated:\n")
for type_ in ["all_candidates", "best_candidates",
"expressed_candidates", "non_expressed_candidates"]:
for table in os.listdir(os.path.join(
args_term.out_folder, "tables", type_)):
term_table = os.path.join(args_term.out_folder, "tables",
type_, table)
reorganize_table(args_term.libs, args_term.merge_wigs,
"Coverage_detail", term_table)
log.write("\t" + term_table + "\n")
def run_terminator(self, args_term, log):
self._check_gff_file(args_term.gffs)
self._check_gff_file(args_term.trans)
self.multiparser.parser_fasta(args_term.fastas)
if (not args_term.gffs) or (not args_term.fastas):
print("Error: Please assign gff files "
"and fasta files!")
sys.exit()
file_types, prefixs = self._convert_gff2rntptt(
self.gff_path, self.fasta_path, args_term.srnas, log)
check = self._combine_ptt_rnt(self.gff_path, file_types,
self.srna_path)
self._run_TransTermHP(args_term, log)
self._convert_to_gff(prefixs, args_term, log)
self.helper.remove_tmp(self.gff_path)
self.multiparser.parser_gff(args_term.trans, "transcript")
self.helper.check_make_folder(self.tmps["term_table"])
if check != "NO_CDS":
self.multiparser.parser_gff(self.tmps["transterm"],
self.tmps["hp"])
merge_path = self._merge_sRNA(args_term.srnas, prefixs, self.gff_path)
self._compute_intersection_forward_reverse(
prefixs, merge_path, args_term.wig_path,
args_term.merge_wigs, args_term, log)
self._compute_stat(args_term, log)
self._compare_term_tran(args_term, prefixs, log)
self._re_table(args_term, prefixs, log)
self._remove_tmp_file(args_term.merge_wigs, args_term)
class SubLocal(object):
'''detection of subcellular localization'''
def __init__(self, args_sub):
self.multiparser = Multiparser()
self.helper = Helper()
self.fixer = FormatFixer()
self.gff_path = os.path.join(args_sub.gffs, "tmp")
self.fasta_path = os.path.join(args_sub.fastas, "tmp")
if args_sub.trans is not None:
self.tran_path = os.path.join(args_sub.trans, "tmp")
else:
self.tran_path = None
self.out_all = os.path.join(args_sub.out_folder, "all_CDSs")
self.out_express = os.path.join(args_sub.out_folder, "expressed_CDSs")
self.all_tmp_path = os.path.join(self.out_all, "tmp")
self.express_tmp_path = os.path.join(self.out_express, "tmp")
self.all_stat_path = os.path.join(self.out_all, "statistics")
self.express_stat_path = os.path.join(self.out_express, "statistics")
self.all_tmp_result = os.path.join(self.out_all, "tmp_results")
self.express_tmp_result = os.path.join(self.out_express, "tmp_results")
self.all_result = os.path.join(self.out_all, "psortb_results")
self.express_result = os.path.join(self.out_express, "psortb_results")
self.endfix_table = "table.csv"
self.endfix_raw = "raw.txt"
self._make_folder()
def _make_folder(self):
self.helper.check_make_folder(self.out_all)
self.helper.check_make_folder(self.out_express)
self.helper.check_make_folder(self.all_stat_path)
self.helper.check_make_folder(self.express_stat_path)
self.helper.check_make_folder(self.all_result)
self.helper.check_make_folder(self.express_result)
def _compare_cds_tran(self, gff_file, tran_file, log):
'''compare CDS and transcript to find the expressed CDS'''
log.write("Comparing transcripts and CDSs to get expressed CDSs.\n")
out = open(os.path.join(self.out_all, "tmp_cds.gff"), "w")
cdss = []
fh = open(gff_file)
th = open(tran_file)
for entry in Gff3Parser().entries(fh):
if entry.feature == "CDS":
cdss.append(entry)
trans = []
for entry in Gff3Parser().entries(th):
trans.append(entry)
for cds in cdss:
for ta in trans:
if (cds.strand == ta.strand) and (
cds.seq_id == ta.seq_id):
if ((cds.end < ta.end) and (
cds.end > ta.start) and (
cds.start <= ta.start)) or (
(cds.start > ta.start) and (
cds.start < ta.end) and (
cds.end >= ta.end)) or (
(cds.end >= ta.end) and (
cds.start <= ta.start)) or (
(cds.end <= ta.end) and (
cds.start >= ta.start)):
out.write(cds.info + "\n")
break
fh.close()
th.close()
out.close()
log.write("\t" + os.path.join(self.out_all, "tmp_cds.gff") + " is "
"temporary generated.\n")
def _get_protein_seq(self, gff, tmp_path, tran_path, args_sub, log):
prefix = gff.replace(".gff", "")
fasta = self.helper.get_correct_file(self.fasta_path, ".fa",
prefix, None, None)
dna_seq_file = os.path.join(tmp_path, "_".join([prefix, "dna.fa"]))
print("Generating CDS fasta files of {0}".format(prefix))
if tran_path is not None:
log.write("Predicting subcellular localization for expressed "
"CDSs for {0}.\n".format(prefix))
self._compare_cds_tran(os.path.join(self.gff_path, gff),
os.path.join(tran_path, "_".join([
prefix, "transcript.gff"])), log)
log.write("Running helper.py to extract sequences for CDSs.\n")
self.helper.get_cds_seq(os.path.join(self.out_all, "tmp_cds.gff"),
fasta, dna_seq_file)
os.remove(os.path.join(self.out_all, "tmp_cds.gff"))
else:
log.write("Predicting subcellular localization for all CDSs for "
"{0}.\n".format(prefix))
log.write("Running helper.py to extract sequences for CDSs.\n")
self.helper.get_cds_seq(os.path.join(self.gff_path, gff),
fasta, dna_seq_file)
log.write("\t" + dna_seq_file + " is generated.\n")
print("Transfering DNA sequences to protein sequence of {0}".format(
prefix))
log.write("Running helper.py to translate DNA sequences to Protein "
"sequences.\n")
tmp_file = os.path.join(args_sub.out_folder, "tmp")
self.helper.translation(dna_seq_file, tmp_file)
prot_seq_file = os.path.join(
tmp_path, "_".join([prefix, "protein.fa"]))
self.fixer.fix_emboss(tmp_file, prot_seq_file)
log.write(prot_seq_file + " is generated.\n")
os.remove(tmp_file)
return prefix
def _psortb(self, psortb_path, strain_type, prot_seq_file,
out_raw, out_err, log):
log.write(" ".join([psortb_path, strain_type, prot_seq_file]) + "\n")
call([psortb_path, strain_type, prot_seq_file],
stdout=out_raw, stderr=out_err)
def _run_psortb(self, args_sub, prefix, out_folder, tmp_path, tmp_result, log):
print("Running psortb of {0}".format(prefix))
log.write("Running Psortb for predict subcellular localization for "
"{0}.\n".format(prefix))
out_err = open(os.path.join(out_folder, "tmp_log"), "w")
out_raw = open(os.path.join(tmp_result,
"_".join([prefix, self.endfix_raw])), "w")
prot_seq_file = os.path.join(tmp_path,
"_".join([prefix, "protein.fa"]))
if args_sub.gram == "positive":
self._psortb(args_sub.psortb_path, "-p", prot_seq_file,
out_raw, out_err, log)
elif args_sub.gram == "negative":
self._psortb(args_sub.psortb_path, "-n", prot_seq_file,
out_raw, out_err, log)
else:
log.write("Please assign \"positive\" or \"negative\" to "
"--bacteria_type.\n")
print("Error: {0} is not a proper bacteria type! "
"Please assign positive or negative.".format(
args_sub.gram))
sys.exit()
log.write("\t" + os.path.join(tmp_result, "_".join([
prefix, self.endfix_raw])) + " is temporary generated.\n")
out_err.close()
out_raw.close()
def _extract_result(self, args_sub, tmp_psortb_path, prefix, gff_file, log):
'''extract the result of psortb'''
log.write("Running extract_psortb.py to extract the information of "
"localization.\n")
extract_psortb(os.path.join(
tmp_psortb_path, "_".join([prefix, self.endfix_raw])),
os.path.join(tmp_psortb_path, "_".join([
prefix, self.endfix_table])),
None, None, args_sub.fuzzy)
log.write("\t" + os.path.join(tmp_psortb_path, "_".join([
prefix, self.endfix_table])) + " is tempoaray generated.\n")
def _remove_header(self, out_all):
out = open(out_all + "_tmp", "w")
fh = open(out_all, "r")
out.write("\t".join(["#Genome", "Protein", "Strand", "Start",
"End", "Location", "Score"]) + "\n")
for row in csv.reader(fh, delimiter='\t'):
if row[0] != "#Genome":
out.write("\t".join(row) + "\n")
out.close()
fh.close()
shutil.move(out_all + "_tmp", out_all)
def _merge_and_stat(self, gffs, tmp_psortb_path, stat_path, psortb_result,
log):
for folder in os.listdir(gffs):
if folder.endswith(".gff_folder"):
prefix = folder.replace(".gff_folder", "")
self.helper.check_make_folder(
os.path.join(psortb_result, prefix))
merge_table = os.path.join(
psortb_result, prefix,
"_".join([prefix, self.endfix_table]))
for gff in os.listdir(os.path.join(gffs, folder)):
result = self.helper.get_correct_file(
tmp_psortb_path, "_" + self.endfix_raw,
gff.replace(".gff", ""), None, None)
shutil.copy(result, os.path.join(psortb_result, prefix))
result = self.helper.get_correct_file(
tmp_psortb_path, "_" + self.endfix_table,
gff.replace(".gff", ""), None, None)
self.helper.merge_file(result, merge_table)
log.write("\t" + merge_table + "\n")
self._remove_header(merge_table)
self.helper.check_make_folder(os.path.join(stat_path, prefix))
stat_folder = os.path.join(stat_path, prefix)
stat_file = os.path.join(stat_folder, "_".join([
"stat", prefix, "sublocal.csv"]))
stat_sublocal(merge_table,
os.path.join(stat_folder, prefix),
stat_file)
for file_ in os.listdir(stat_folder):
log.write("\t" + os.path.join(stat_folder, file_) + "\n")
def _remove_tmps(self, args_sub):
self.helper.remove_tmp_dir(args_sub.fastas)
self.helper.remove_tmp_dir(args_sub.gffs)
self.helper.remove_all_content(args_sub.out_folder, "tmp", "dir")
self.helper.remove_all_content(self.out_all, "tmp", "dir")
self.helper.remove_all_content(self.out_express, "tmp", "dir")
os.remove(os.path.join(self.out_all, "tmp_log"))
if args_sub.trans is not None:
os.remove(os.path.join(self.out_express, "tmp_log"))
self.helper.remove_tmp_dir(args_sub.trans)
def run_sub_local(self, args_sub, log):
for gff in os.listdir(args_sub.gffs):
if gff.endswith(".gff"):
self.helper.check_uni_attributes(os.path.join(
args_sub.gffs, gff))
self.multiparser.parser_gff(args_sub.gffs, None)
self.multiparser.parser_fasta(args_sub.fastas)
if args_sub.trans is not None:
self.multiparser.parser_gff(args_sub.trans, "transcript")
self.helper.check_make_folder(self.express_tmp_path)
self.helper.check_make_folder(self.express_tmp_result)
self.helper.check_make_folder(self.all_tmp_path)
self.helper.check_make_folder(self.all_tmp_result)
for gff in os.listdir(self.gff_path):
if args_sub.trans is not None:
print("Running expressed genes now")
prefix = self._get_protein_seq(gff, self.express_tmp_path,
self.tran_path, args_sub, log)
self._run_psortb(args_sub, prefix, self.out_express,
self.express_tmp_path,
self.express_tmp_result, log)
self._extract_result(args_sub, self.express_tmp_result, prefix,
os.path.join(self.gff_path, gff), log)
print("Running all genes now")
prefix = self._get_protein_seq(gff, self.all_tmp_path, None,
args_sub, log)
self._run_psortb(args_sub, prefix, self.out_all,
self.all_tmp_path, self.all_tmp_result, log)
self._extract_result(args_sub, self.all_tmp_result, prefix,
os.path.join(self.gff_path, gff), log)
log.write("Running stat_sublocal.py to do statistics, generate "
"merged tables, and plot figures.\n")
log.write("The following files are generated:\n")
self._merge_and_stat(args_sub.gffs, self.all_tmp_result,
self.all_stat_path, self.all_result, log)
if args_sub.trans is not None:
self._merge_and_stat(args_sub.gffs, self.express_tmp_result,
self.express_stat_path, self.express_result, log)
self._remove_tmps(args_sub)
class RATT(object):
'''annotation transfer'''
def __init__(self, args_ratt):
self.multiparser = Multiparser()
self.converter = Converter()
self.format_fixer = FormatFixer()
self.helper = Helper()
if args_ratt.ref_gbk:
self.gbk = os.path.join(args_ratt.ref_gbk, "gbk_tmp")
self.gbk_tmp = os.path.join(self.gbk, "tmp")
self.embl = os.path.join(args_ratt.ref_gbk, "embls")
if args_ratt.ref_embls:
self.embl = args_ratt.ref_embls
self.ratt_log = os.path.join(args_ratt.output_path, "ratt_log.txt")
self.tmp_files = {"tar": os.path.join(args_ratt.tar_fastas, "tmp"),
"ref": os.path.join(args_ratt.ref_fastas, "tmp"),
"out_gff": os.path.join(args_ratt.gff_outfolder,
"tmp"),
"gff": os.path.join(args_ratt.gff_outfolder,
"tmp.gff"),
"ptt": os.path.join(args_ratt.gff_outfolder,
"tmp.ptt"),
"rnt": os.path.join(args_ratt.gff_outfolder,
"tmp.rnt")}
def _convert_to_pttrnt(self, gffs, files, log):
for gff in files:
if gff.endswith(".gff"):
gff = os.path.join(gffs, gff)
filename = gff.split("/")
prefix = filename[-1][:-4]
rnt = gff[:-3] + "rnt"
ptt = gff[:-3] + "ptt"
fasta = self.helper.get_correct_file(self.tmp_files["tar"],
".fa", prefix, None, None)
if fasta:
self.converter.convert_gff2rntptt(gff, fasta, ptt, rnt,
None, None)
log.write("\t" + ptt + " is generated.\n")
log.write("\t" + rnt + " is generated.\n")
def _remove_files(self, args_ratt, out_gbk, log):
self.helper.remove_all_content(args_ratt.gff_outfolder, ".gff", "file")
self.helper.remove_all_content(args_ratt.gff_outfolder, ".ptt", "file")
self.helper.remove_all_content(args_ratt.gff_outfolder, ".rnt", "file")
log.write("Moving the final output files to {0}.\n".format(args_ratt.gff_outfolder))
self.helper.move_all_content(self.tmp_files["out_gff"],
args_ratt.gff_outfolder, None)
log.write("Remove the temperary files.\n")
shutil.rmtree(self.tmp_files["out_gff"])
shutil.rmtree(self.tmp_files["tar"])
shutil.rmtree(self.tmp_files["ref"])
self.helper.remove_tmp_dir(args_ratt.tar_fastas)
self.helper.remove_tmp_dir(args_ratt.ref_fastas)
self.helper.remove_tmp_dir(args_ratt.ref_embls)
self.helper.remove_tmp_dir(args_ratt.ref_gbk)
def _convert_to_gff(self, ratt_result, args_ratt, files, log):
name = ratt_result.split(".")
filename = ".".join(name[1:-2]) + ".gff"
output_file = os.path.join(args_ratt.output_path, filename)
self.converter.convert_embl2gff(
os.path.join(args_ratt.output_path, ratt_result), output_file)
self.format_fixer.fix_ratt(output_file, ".".join(name[1:-2]),
"tmp_gff")
shutil.move("tmp_gff", output_file)
shutil.copy(output_file, os.path.join(args_ratt.gff_outfolder,
filename))
log.write("\t" + os.path.join(args_ratt.gff_outfolder, filename) +
" is generated.\n")
files.append(filename)
def _parser_embl_gbk(self, files):
self.helper.check_make_folder(self.gbk)
for file_ in files:
close = False
with open(file_, "r") as f_h:
for line in f_h:
if (line.startswith("LOCUS")):
out = open(self.gbk_tmp, "w")
datas = line.split(" ")
for data in datas:
if (len(data) != 0) and (data != "LOCUS"):
filename = ".".join([data.strip(), "gbk"])
break
elif (line.startswith("VERSION")):
datas = line.split(" ")
for data in datas:
if (len(data) != 0) and (data != "VERSION"):
new_filename = ".".join([data.strip(), "gbk"])
break
if new_filename.find(filename):
filename = new_filename
if out:
out.write(line)
if line.startswith("//"):
out.close()
close = True
shutil.move(self.gbk_tmp,
os.path.join(self.gbk, filename))
if not close:
out.close()
return self.gbk
def _convert_embl(self, ref_embls, log):
'''convert gbk to embl'''
detect_gbk = False
gbks = []
out_gbk = None
for embl in os.listdir(ref_embls):
if (embl.endswith(".gbk")) or (
embl.endswith(".gbff")) or (
embl.endswith(".gb")):
detect_gbk = True
gbks.append(os.path.join(ref_embls, embl))
if not detect_gbk:
log.write("--related_gbk_files is assigned, but not gbk files are detected.\n"
"The gbk file names need to be ended at .gbk, .gb, or .gbff. \n")
print("Error: Please assign proper Genebank files!")
sys.exit()
elif detect_gbk:
out_gbk = self._parser_embl_gbk(gbks)
log.write("Running converter.py to convert gbk file to embl format.\n")
self.converter.convert_gbk2embl(out_gbk)
self.helper.check_make_folder(self.embl)
self.helper.move_all_content(out_gbk, self.embl, [".embl"])
log.write("\t" + self.embl + " is generated and the embl files are stored in it.\n")
return out_gbk
def _run_ratt(self, args_ratt, tar, ref, out, log):
if (not os.path.exists(self.embl)) or (
not os.path.exists(os.path.join(
self.tmp_files["tar"], tar + ".fa"))) or (
not os.path.exists(os.path.join(
self.tmp_files["ref"], ref + ".fa"))):
print("Error: Please check --compare_pair, the strain names "
"should be the same as the strain names in fasta, "
"genbank or embl files!")
log.write("The strain names in --compare_pair should be the same "
"as the strain names in fasta, genbank, or embl files.\n")
sys.exit()
log.write("Make sure your RATT version is at least 1.64.\n")
log.write("If the RATT can not run properly, please check the "
"RATT_HOME and PAGIT_HOME is assigned correctly.\n")
log.write(" ".join([args_ratt.ratt_path, self.embl,
os.path.join(self.tmp_files["tar"], tar + ".fa"),
args_ratt.element, args_ratt.transfer_type,
os.path.join(self.tmp_files["ref"], ref + ".fa")]) + "\n")
call([args_ratt.ratt_path, self.embl,
os.path.join(self.tmp_files["tar"], tar + ".fa"),
args_ratt.element, args_ratt.transfer_type,
os.path.join(self.tmp_files["ref"], ref + ".fa")],
stdout=out, stderr=DEVNULL)
log.write("Done!\n")
def _format_and_run(self, args_ratt, log):
print("Running RATT")
for pair in args_ratt.pairs:
ref = pair.split(":")[0]
tar = pair.split(":")[1]
out = open(self.ratt_log, "w+")
self._run_ratt(args_ratt, tar, ref, out, log)
log.write("The following files are generatd:\n")
for filename in os.listdir():
if ("final" in filename):
log.write("\t" + filename + "\n")
shutil.move(filename, os.path.join(args_ratt.output_path,
filename))
elif (args_ratt.element in filename) or (
"query" in filename) or (
"Reference" in filename) or (
"Query" in filename) or (
"Sequences" in filename):
log.write("\t" + filename + "\n")
if os.path.isfile(filename):
os.remove(filename)
if os.path.isdir(filename):
shutil.rmtree(filename)
out.close()
def annotation_transfer(self, args_ratt, log):
self.multiparser.parser_fasta(args_ratt.tar_fastas)
self.multiparser.parser_fasta(args_ratt.ref_fastas)
out_gbk = None
if args_ratt.ref_embls is None:
out_gbk = self._convert_embl(args_ratt.ref_gbki, log)
self._format_and_run(args_ratt, log)
files = []
for data in os.listdir(args_ratt.output_path):
if "final.embl" in data:
log.write("Running converter.py to convert embl "
"files in {0} to gff, ptt, and rnt format.\n".format(data))
self._convert_to_gff(data, args_ratt, files, log)
self._convert_to_pttrnt(args_ratt.gff_outfolder, files, log)
self.helper.check_make_folder(self.tmp_files["out_gff"])
log.write("Merging the output of {0}.\n".format(data))
for folder in os.listdir(args_ratt.tar_fastas):
files = []
if "_folder" in folder:
datas = folder.split("_folder")
prefix = ".".join(datas[0].split(".")[:-1])
for file_ in os.listdir(os.path.join(args_ratt.tar_fastas,
folder)):
files.append(file_[:-3])
for gff in os.listdir(args_ratt.gff_outfolder):
for file_ in files:
if (".gff" in gff) and (file_ == gff[:-4]):
self.helper.merge_file(os.path.join(
args_ratt.gff_outfolder, gff),
self.tmp_files["gff"])
if (".ptt" in gff) and (file_ == gff[:-4]):
self.helper.merge_file(os.path.join(
args_ratt.gff_outfolder, gff),
self.tmp_files["ptt"])
if (".rnt" in gff) and (file_ == gff[:-4]):
self.helper.merge_file(os.path.join(
args_ratt.gff_outfolder, gff),
self.tmp_files["rnt"])
if os.path.exists(self.tmp_files["gff"]):
shutil.move(self.tmp_files["gff"], os.path.join(
self.tmp_files["out_gff"], prefix + ".gff"))
shutil.move(self.tmp_files["ptt"], os.path.join(
self.tmp_files["out_gff"], prefix + ".ptt"))
shutil.move(self.tmp_files["rnt"], os.path.join(
self.tmp_files["out_gff"], prefix + ".rnt"))
else:
print("Error: Please check your fasta or "
"annotation files, they should only contain "
"the query genome. And make sure your RATT can "
"work properly (check $ANNOgesic/output/"
"annotation_transfer/ratt_log.txt).")
log.write("Please check your fasta or "
"annotation files, they should only contain "
"the query genome. And make sure your RATT can "
"work properly (check $ANNOgesic/output/"
"annotation_transfer/ratt_log.txt).\n")
self._remove_files(args_ratt, out_gbk, log)
class TSSpredator(object):
def __init__(self, args_tss):
self.multiparser = Multiparser()
self.helper = Helper()
self.converter = Converter()
self.master = os.path.join(args_tss.out_folder, "MasterTables")
self.tmps = {"tss": "tmp_TSS", "ta_tss": "tmp_ta_tss", "tss_ta":
"tmp_tss", "tmp": "tmp"}
if args_tss.ta_files is not None:
self.tmps["ta"] = os.path.join(args_tss.ta_files, "tmp")
else:
self.tmps["ta"] = None
self.gff_path = os.path.join(args_tss.gffs, "tmp")
if args_tss.manual is not None:
self.manual_path = os.path.join(args_tss.manual, "tmp")
self.wig_path = os.path.join(args_tss.wig_folder, "tmp")
self.fasta_path = os.path.join(args_tss.fastas, "tmp")
self.stat_outfolder = os.path.join(args_tss.out_folder, "statistics")
self.gff_outfolder = os.path.join(args_tss.out_folder, "gffs")
def _assign_dict(self, lib_datas):
return {"wig": lib_datas[0],
"tex": lib_datas[1],
"condition": int(lib_datas[2]),
"replicate": lib_datas[3],
"strand": lib_datas[4]}
def _print_lib(self, lib_num, lib_list, out, wig_folder, prefix, rep_set):
for num_id in range(1, lib_num+1):
cond_list = []
for lib in lib_list:
if num_id == lib["condition"]:
cond_list.append(lib)
cond_sort_list = sorted(cond_list, key=lambda k: k['replicate'])
reps = []
for cond in cond_sort_list:
out.write("{0}_{1}{2} = {3}\n".format(
prefix, cond["condition"], cond["replicate"],
os.path.join(wig_folder, cond["wig"])))
reps.append(cond["replicate"])
for rep in sorted(rep_set):
if rep not in reps:
out.write("{0}_{1}{2} = \n".format(
prefix, cond["condition"], rep))
def _start_to_run(self, tsspredator_path, config_file, out_path, prefix, log):
print("Running TSSpredator for " + prefix)
log.write("Make sure the version of TSSpredator is at least 1.06.\n")
out = open(os.path.join(out_path, "log.txt"), "w")
err = open(os.path.join(out_path, "err.txt"), "w")
log.write(" ".join(["java", "-jar", tsspredator_path,
config_file]) + "\n")
call(["java", "-jar", tsspredator_path,
config_file], stdout=out, stderr=err)
out.close()
err.close()
log.write("Done!\n")
log.write("The following files are generated in {0}:\n".format(out_path))
for file_ in os.listdir(out_path):
log.write("\t" + file_ + "\n")
def _import_lib(self, libs, wig_folder, project_strain_name,
out, gff, program, fasta):
lib_dict = {"fp": [], "fm": [], "nm": [], "np": []}
lib_num = 0
rep_set = set()
list_num_id = []
for lib in libs:
lib_datas = lib.split(":")
if not lib_datas[0].endswith(".wig"):
print("Error: Wiggle files are not end with .wig!")
sys.exit()
for wig in os.listdir(wig_folder):
filename = wig.split("_STRAIN_")
if (filename[0] == lib_datas[0][:-4]) and (
filename[1][:-4] == project_strain_name):
lib_datas[0] = wig
if int(lib_datas[2]) > lib_num:
lib_num = int(lib_datas[2])
if lib_datas[3] not in rep_set:
rep_set.add(lib_datas[3])
if (lib_datas[1] == "tex") and (lib_datas[4] == "+"):
lib_dict["fp"].append(self._assign_dict(lib_datas))
elif (lib_datas[1] == "tex") and (lib_datas[4] == "-"):
lib_dict["fm"].append(self._assign_dict(lib_datas))
elif (lib_datas[1] == "notex") and (lib_datas[4] == "+"):
lib_dict["np"].append(self._assign_dict(lib_datas))
elif (lib_datas[1] == "notex") and (lib_datas[4] == "-"):
lib_dict["nm"].append(self._assign_dict(lib_datas))
for num_id in range(1, lib_num+1):
out.write("annotation_{0} = {1}\n".format(num_id, gff))
if program.lower() == "tss":
self._print_lib(lib_num, lib_dict["fm"], out,
wig_folder, "fivePrimeMinus", rep_set)
self._print_lib(lib_num, lib_dict["fp"], out,
wig_folder, "fivePrimePlus", rep_set)
elif program.lower() == "ps":
self._print_lib(lib_num, lib_dict["nm"], out,
wig_folder, "fivePrimeMinus", rep_set)
self._print_lib(lib_num, lib_dict["np"], out,
wig_folder, "fivePrimePlus", rep_set)
else:
print("Error: Wrong program name! Please assing tss "
"or processing_site.")
sys.exit()
for num_id in range(1, lib_num+1):
out.write("genome_{0} = {1}\n".format(num_id, fasta))
for num_id in range(1, lib_num+1):
list_num_id.append(str(num_id))
return lib_num, num_id, rep_set, lib_dict, list_num_id
def _print_repmatch(self, args_tss, out):
'''check replicate match'''
detect_all = False
for rep in args_tss.repmatch:
if "all" in rep:
detect_all = True
match = rep.split("_")[-1]
out.write("minNumRepMatches = {0}\n".format(match))
break
if not detect_all:
nums = {}
matchs = {}
for match in args_tss.repmatch:
lib = match.split("_")[0]
rep = match.split("_")[-1]
matchs[lib] = rep
if rep not in nums.keys():
nums[rep] = 1
else:
nums[rep] += 1
for rep, num in nums.items():
if num == max(nums.values()):
out.write("minNumRepMatches = {0}\n".format(rep))
max_rep = rep
break
for lib, rep in matchs.items():
if rep != max_rep:
out.write("minNumRepMatches_{0} = {1}\n".format(
lib, rep))
def _gen_config(self, project_strain_name, args_tss, gff,
wig_folder, fasta, config_file, log):
'''generation of config files'''
master_folder = "MasterTable_" + project_strain_name
out_path = os.path.join(self.master, master_folder)
self.helper.check_make_folder(out_path)
out = open(config_file, "w")
out.write("TSSinClusterSelectionMethod = HIGHEST\n")
out.write("allowedCompareShift = 1\n")
out.write("allowedRepCompareShift = 1\n")
lib_num, num_id, rep_set, lib_dict, list_num_id = \
self._import_lib(args_tss.libs, wig_folder, project_strain_name,
out, gff, args_tss.program, fasta)
out.write("idList = ")
out.write(",".join(list_num_id) + "\n")
out.write("maxASutrLength = 100\n")
out.write("maxGapLengthInGene = 500\n")
out.write("maxNormalTo5primeFactor = {0}\n".format(
args_tss.processing_factor))
out.write("maxTSSinClusterDistance = {0}\n".format(
args_tss.cluster + 1))
out.write("maxUTRlength = {0}\n".format(args_tss.utr_length))
out.write("min5primeToNormalFactor = {0}\n".format(
args_tss.enrichment_factor))
out.write("minCliffFactor = {0}\n".format(args_tss.factor))
out.write("minCliffFactorDiscount = {0}\n".format(
args_tss.factor_reduction))
out.write("minCliffHeight = {0}\n".format(args_tss.height))
out.write("minCliffHeightDiscount = {0}\n".format(
args_tss.height_reduction))
out.write("minNormalHeight = {0}\n".format(args_tss.base_height))
self._print_repmatch(args_tss, out)
out.write("minPlateauLength = 0\n")
out.write("mode = cond\n")
out.write("normPercentile = 0.9\n")
if args_tss.program.lower() == "tss":
self._print_lib(lib_num, lib_dict["nm"], out,
wig_folder, "normalMinus", rep_set)
self._print_lib(lib_num, lib_dict["np"], out,
wig_folder, "normalPlus", rep_set)
else:
self._print_lib(lib_num, lib_dict["fm"], out,
wig_folder, "normalMinus", rep_set)
self._print_lib(lib_num, lib_dict["fp"], out,
wig_folder, "normalPlus", rep_set)
out.write("numReplicates = {0}\n".format(len(rep_set)))
out.write("numberOfDatasets = {0}\n".format(lib_num))
out.write("outputDirectory = {0}\n".format(out_path))
for prefix_id in range(len(args_tss.output_prefixs)):
out.write("outputPrefix_{0} = {1}\n".format(
prefix_id + 1, args_tss.output_prefixs[prefix_id]))
out.write("projectName = {0}\n".format(project_strain_name))
out.write("superGraphCompatibility = igb\n")
out.write("texNormPercentile = 0.5\n")
out.write("writeGraphs = 0\n")
out.write("writeNocornacFiles = 0\n")
log.write("\t" + config_file + " is generated.\n")
out.close()
def _convert_gff(self, prefixs, args_tss, log):
for prefix in prefixs:
out_file = os.path.join(self.gff_outfolder, "_".join([
prefix, args_tss.program]) + ".gff")
gff_f = open(out_file, "w")
out_path = os.path.join(self.master, "_".join([
"MasterTable", prefix]))
if "MasterTable.tsv" not in os.listdir(out_path):
print("Error: There is not MasterTable file in {0} ".format(
out_path))
print("Please check configuration file.")
log.write("not MasterTable file is found in {0}\n".format(
out_path))
else:
if args_tss.program.lower() == "processing":
feature = "processing_site"
elif args_tss.program.lower() == "tss":
feature = "TSS"
self.converter.convert_mastertable2gff(
os.path.join(out_path, "MasterTable.tsv"),
"ANNOgesic", feature, prefix, out_file)
log.write("\t" + out_file + "is generated.\n")
gff_f.close()
def _merge_manual(self, tsss, args_tss):
'''if manual detected TSS is provided, it can merge manual detected TSS
and TSSpredator predicted TSS'''
self.helper.check_make_folder(os.path.join(os.getcwd(),
self.tmps["tss"]))
for tss in tsss:
for gff in os.listdir(args_tss.gffs):
if (gff[:-4] == tss) and (".gff" in gff):
break
filename = "_".join([tss, args_tss.program]) + ".gff"
predict = os.path.join(self.gff_outfolder, filename)
manual = os.path.join(self.manual_path, tss + ".gff")
fasta = os.path.join(self.fasta_path, tss + ".fa")
stat_file = "stat_compare_TSSpredator_manual_{0}.csv".format(tss)
if os.path.exists(manual):
print("Merging and classiflying manually-detected "
"TSSs for {0}".format(tss))
merge_manual_predict_tss(
predict, stat_file,
os.path.join(self.tmps["tss"], filename),
os.path.join(args_tss.gffs, gff), args_tss, manual, fasta)
if os.path.exists(stat_file):
shutil.move(stat_file, os.path.join(
args_tss.out_folder, "statistics", tss, stat_file))
self.helper.move_all_content(self.tmps["tss"],
self.gff_outfolder, [".gff"])
shutil.rmtree(self.tmps["tss"])
def _validate(self, tsss, args_tss, log):
'''validate TSS with genome annotation'''
print("Validating TSSs with genome annotations")
log.write("Running validate_gene.py to compare genome "
"annotations and TSSs/PSs.\n")
for tss in tsss:
for gff in os.listdir(args_tss.gffs):
if (gff[:-4] == tss) and (".gff" in gff):
break
stat_file = os.path.join(
self.stat_outfolder, tss,
"".join(["stat_gene_vali_", tss, ".csv"]))
out_cds_file = os.path.join(args_tss.out_folder, "tmp.gff")
if args_tss.program.lower() == "tss":
compare_file = os.path.join(self.gff_outfolder,
"_".join([tss, "TSS.gff"]))
elif args_tss.program.lower() == "processing":
compare_file = os.path.join(self.gff_outfolder,
"_".join([tss, "processing.gff"]))
validate_gff(compare_file, os.path.join(args_tss.gffs, gff),
stat_file, out_cds_file, args_tss.utr_length,
args_tss.program.lower())
log.write("\t" + stat_file + " is generated.\n")
shutil.move(out_cds_file, os.path.join(args_tss.gffs, gff))
def _compare_ta(self, tsss, args_tss, log):
'''compare TSS with transcript'''
detect = False
log.write("Running stat_TA_comparison to compare transcripts "
"and TSSs/PSs.\n")
print("Comparing transcripts and TSSs")
self.multiparser.parser_gff(args_tss.ta_files, "transcript")
self.multiparser.combine_gff(args_tss.gffs, self.tmps["ta"],
None, "transcript")
for tss in tsss:
stat_out = os.path.join(
self.stat_outfolder, tss, "".join([
"stat_compare_TSS_transcript_",
tss, ".csv"]))
for ta in os.listdir(self.tmps["ta"]):
filename = ta.split("_transcript")
if (filename[0] == tss) and (filename[1] == ".gff"):
detect = True
break
compare_file = os.path.join(self.gff_outfolder,
"_".join([tss, "TSS.gff"]))
if detect:
stat_ta_tss(os.path.join(self.tmps["ta"], ta), compare_file,
stat_out, self.tmps["ta_tss"],
self.tmps["tss_ta"], args_tss.fuzzy)
self.helper.sort_gff(self.tmps["tss_ta"], compare_file)
self.helper.sort_gff(self.tmps["ta_tss"],
os.path.join(args_tss.ta_files, ta))
os.remove(self.tmps["tss_ta"])
os.remove(self.tmps["ta_tss"])
detect = False
log.write("\t" + stat_out + " is generated.\n")
def _stat_tss(self, tsss, feature, log):
print("Running statistaics")
for tss in tsss:
compare_file = os.path.join(self.gff_outfolder,
"_".join([tss, feature]) + ".gff")
stat_tsspredator(
compare_file, feature,
os.path.join(self.stat_outfolder, tss, "_".join([
"stat", feature, "class", tss]) + ".csv"),
os.path.join(self.stat_outfolder, tss, "_".join([
"stat", feature, "libs", tss]) + ".csv"))
self.helper.move_all_content(os.getcwd(), os.path.join(
self.stat_outfolder, tss), ["_class", ".png"])
if os.path.exists(os.path.join(
self.stat_outfolder, "TSSstatistics.tsv")):
shutil.move(
os.path.join(
self.stat_outfolder, "TSSstatistics.tsv"),
os.path.join(
self.stat_outfolder, tss, "TSSstatistics.tsv"))
plot_venn(compare_file, feature)
self.helper.move_all_content(os.getcwd(), os.path.join(
self.stat_outfolder, tss), ["_venn", ".png"])
log.write("The following files in {0} are generated:\n".format(
(os.path.join(self.stat_outfolder, tss))))
for file_ in os.listdir(os.path.join(
self.stat_outfolder, tss)):
log.write("\t" + file_ + "\n")
def _set_gen_config(self, args_tss, input_folder, log):
prefixs = []
detect = False
log.write("Generating config files for TSSpredator.\n")
for fasta in os.listdir(self.fasta_path):
run = False
for gff in os.listdir(self.gff_path):
if fasta[:-3] == gff[:-4]:
prefix = fasta[:-3]
for wig in os.listdir(self.wig_path):
filename = wig.split("_STRAIN_")
if filename[1][:-4] == prefix:
detect = True
break
if detect:
prefixs.append(prefix)
config = os.path.join(
input_folder,
"_".join(["config", prefix]) + ".ini")
self._gen_config(
prefix, args_tss,
os.path.join(self.gff_path, gff), self.wig_path,
os.path.join(self.fasta_path, fasta), config, log)
return prefixs
def _merge_wigs(self, wig_folder, prefix, libs):
self.helper.check_make_folder(os.path.join(os.getcwd(),
self.tmps["tmp"]))
for wig_file in os.listdir(wig_folder):
for lib in libs:
info = lib.split(":")
if (info[0][:-4] in wig_file) and (info[-1] == "+") and (
prefix in wig_file) and (
os.path.isfile(os.path.join(wig_folder, wig_file))):
Helper().merge_file(
os.path.join(wig_folder, wig_file),
os.path.join("tmp", "merge_forward.wig"))
if (info[0][:-4] in wig_file) and (info[-1] == "-") and (
prefix in wig_file) and (
os.path.isfile(os.path.join(wig_folder, wig_file))):
Helper().merge_file(
os.path.join(wig_folder, wig_file),
os.path.join("tmp", "merge_reverse.wig"))
def _check_orphan(self, prefixs, wig_folder, args_tss):
'''if genome has no locus tag, it can use for classify the TSS'''
for prefix in prefixs:
self._merge_wigs(wig_folder, prefix, args_tss.libs)
tmp_tss = os.path.join(self.tmps["tmp"], "_".join([
prefix, args_tss.program + ".gff"]))
pre_tss = os.path.join(self.gff_outfolder, "_".join([
prefix, args_tss.program + ".gff"]))
check_orphan(pre_tss, os.path.join(
args_tss.gffs, prefix + ".gff"),
"tmp/merge_forward.wig", "tmp/merge_reverse.wig", tmp_tss)
shutil.move(tmp_tss, pre_tss)
shutil.rmtree("tmp")
def _remove_files(self, args_tss):
print("Remove temperary files and folders")
self.helper.remove_tmp_dir(args_tss.fastas)
self.helper.remove_tmp_dir(args_tss.gffs)
self.helper.remove_tmp_dir(args_tss.ta_files)
if "merge_forward.wig" in os.listdir(os.getcwd()):
os.remove("merge_forward.wig")
if "merge_reverse.wig" in os.listdir(os.getcwd()):
os.remove("merge_reverse.wig")
shutil.rmtree(args_tss.wig_folder)
if args_tss.manual is not None:
shutil.rmtree(args_tss.manual)
def _deal_with_overlap(self, out_folder, args_tss):
'''deal with the situation that TSS and
processing site at the same position'''
if not args_tss.overlap_feature:
pass
else:
print("Comparing TSSs and Processing sites")
if args_tss.program.lower() == "tss":
for tss in os.listdir(out_folder):
if tss.endswith("_TSS.gff"):
ref = self.helper.get_correct_file(
args_tss.overlap_gffs, "_processing.gff",
tss.replace("_TSS.gff", ""), None, None)
filter_tss_pro(os.path.join(out_folder, tss),
ref, args_tss.program,
args_tss.cluster)
elif args_tss.program.lower() == "processing":
for tss in os.listdir(out_folder):
if tss.endswith("_processing.gff"):
ref = self.helper.get_correct_file(
args_tss.overlap_gffs, "_TSS.gff",
tss.replace("_processing.gff", ""), None, None)
filter_tss_pro(os.path.join(out_folder, tss),
ref, args_tss.program,
args_tss.cluster)
def _low_expression(self, args_tss, gff_folder):
'''deal with the low expressed TSS'''
prefix = None
self._merge_wigs(args_tss.wig_folder, "wig", args_tss.libs)
for gff in os.listdir(gff_folder):
if (args_tss.program.lower() == "tss") and (
gff.endswith("_TSS.gff")):
prefix = gff.replace("_TSS.gff", "")
elif (args_tss.program.lower() == "processing") and (
gff.endswith("_processing.gff")):
prefix = gff.replace("_processing.gff", "")
if prefix:
out = open(os.path.join(
self.stat_outfolder, prefix, "_".join([
"stat", prefix, "low_expression_cutoff.csv"])), "w")
out.write("\t".join(["Genome", "Cutoff_coverage"]) + "\n")
cutoff = filter_low_expression(
os.path.join(gff_folder, gff), args_tss,
"tmp/merge_forward.wig", "tmp/merge_reverse.wig",
"tmp/without_low_expression.gff")
out.write("\t".join([prefix, str(cutoff)]) + "\n")
os.remove(os.path.join(gff_folder, gff))
shutil.move("tmp/without_low_expression.gff",
os.path.join(gff_folder, gff))
prefix = None
out.close()
def run_tsspredator(self, args_tss, log):
input_folder = os.path.join(args_tss.out_folder, "configs")
for gff in os.listdir(args_tss.gffs):
if gff.endswith(".gff"):
self.helper.check_uni_attributes(os.path.join(
args_tss.gffs, gff))
self.helper.check_make_folder(self.gff_outfolder)
self.multiparser.parser_fasta(args_tss.fastas)
self.multiparser.parser_gff(args_tss.gffs, None)
self.multiparser.parser_wig(args_tss.wig_folder)
prefixs = self._set_gen_config(args_tss, input_folder, log)
for prefix in prefixs:
out_path = os.path.join(
self.master, "_".join(["MasterTable", prefix]))
config_file = os.path.join(
input_folder, "_".join(["config", prefix]) + ".ini")
self._start_to_run(args_tss.tsspredator_path, config_file,
out_path, prefix, log)
if os.path.exists(os.path.join(out_path, "TSSstatistics.tsv")):
shutil.move(os.path.join(out_path, "TSSstatistics.tsv"),
os.path.join(
self.stat_outfolder, "TSSstatistics.tsv"))
if args_tss.program.lower() == "ps":
args_tss.program = "processing"
self._convert_gff(prefixs, args_tss, log)
if args_tss.check_orphan:
print("checking the orphan TSSs")
log.write("Running check_orphan.py to re-check orphan TSSs.\n")
self._check_orphan(prefixs,
os.path.join(args_tss.wig_folder, "tmp"),
args_tss)
self.multiparser.combine_gff(args_tss.gffs, self.gff_outfolder,
None, args_tss.program)
datas = []
for gff in os.listdir(self.gff_outfolder):
if gff.endswith(".gff"):
gff_folder = gff.replace("".join(["_", args_tss.program,
".gff"]), "")
self.helper.check_make_folder(
os.path.join(self.stat_outfolder, gff_folder))
datas.append(gff_folder)
if args_tss.remove_low_expression is not None:
log.write("Running filter_low_expression.py to filter out "
"low expressed TSS/PS.\n")
self._low_expression(args_tss, self.gff_outfolder)
if args_tss.manual is not None:
self.multiparser.parser_gff(args_tss.manual, None)
self.multiparser.combine_gff(args_tss.gffs, self.manual_path,
None, None)
self.multiparser.combine_fasta(args_tss.gffs, self.fasta_path,
None)
self.multiparser.combine_wig(args_tss.gffs, self.wig_path,
None, args_tss.libs)
log.write("Running merge_manual.py to merge the manual TSSs.\n")
self._merge_manual(datas, args_tss)
log.write("Running filter_TSS_pro.py to deal with the overlap "
"position between TSS and PS.\n")
self._deal_with_overlap(self.gff_outfolder, args_tss)
log.write("Running stat_TSSpredator.py to do statistics.\n")
self._stat_tss(datas, args_tss.program, log)
if args_tss.validate:
self._validate(datas, args_tss, log)
if args_tss.ta_files is not None:
self._compare_ta(datas, args_tss, log)
self._remove_files(args_tss)
class UTRDetection(object):
def __init__(self, args_utr):
self.helper = Helper()
self.multiparser = Multiparser()
self.tss_path = os.path.join(args_utr.tsss, "tmp")
self.tran_path = os.path.join(args_utr.trans, "tmp")
self.utr5_path = os.path.join(args_utr.out_folder, "5UTR")
self.utr3_path = os.path.join(args_utr.out_folder, "3UTR")
self.utr5_stat_path = os.path.join(self.utr5_path, "statistics")
self.utr3_stat_path = os.path.join(self.utr3_path, "statistics")
def _check_folder(self, folder):
if folder is None:
print("Error: lack required files!!!")
sys.exit()
def _check_gff(self, folder):
for gff in os.listdir(folder):
if gff.endswith(".gff"):
self.helper.check_uni_attributes(os.path.join(folder, gff))
def _compute_utr(self, args_utr):
for gff in os.listdir(args_utr.gffs):
if gff.endswith(".gff"):
prefix = gff[:-4]
tss = self.helper.get_correct_file(
self.tss_path, "_TSS.gff", prefix, None, None)
tran = self.helper.get_correct_file(
self.tran_path, "_transcript.gff", prefix, None, None)
if args_utr.terms:
term = self.helper.get_correct_file(
os.path.join(args_utr.terms, "tmp"),
"_term.gff", prefix, None, None)
else:
term = None
print("computing 5'UTR of {0} .....".format(prefix))
detect_5utr(tss, os.path.join(args_utr.gffs, gff),
tran, os.path.join(self.utr5_path, "gffs",
"_".join([prefix, "5UTR.gff"])), args_utr)
print("computing 3'UTR of {0} .....".format(prefix))
detect_3utr(tran, os.path.join(args_utr.gffs, gff),
term, os.path.join(self.utr3_path, "gffs",
"_".join([prefix, "3UTR.gff"])), args_utr)
self.helper.move_all_content(
os.getcwd(), self.utr5_stat_path, ["_5utr_length.png"])
self.helper.move_all_content(
os.getcwd(), self.utr3_stat_path, ["_3utr_length.png"])
def run_utr_detection(self, args_utr):
self._check_folder(args_utr.tsss)
self._check_folder(args_utr.gffs)
self._check_folder(args_utr.trans)
self._check_gff(args_utr.tsss)
self._check_gff(args_utr.gffs)
self._check_gff(args_utr.trans)
self._check_gff(args_utr.terms)
self.multiparser.parser_gff(args_utr.gffs, None)
self.multiparser.parser_gff(args_utr.tsss, "TSS")
self.multiparser.combine_gff(args_utr.gffs, self.tss_path, None, "TSS")
self.multiparser.parser_gff(args_utr.trans, "transcript")
self.multiparser.combine_gff(args_utr.gffs, self.tran_path,
None, "transcript")
if args_utr.terms:
self.multiparser.parser_gff(args_utr.terms, "term")
self.multiparser.combine_gff(args_utr.gffs,
os.path.join(args_utr.terms, "tmp"),
None, "term")
self._compute_utr(args_utr)
self.helper.remove_tmp(args_utr.gffs)
self.helper.remove_tmp(args_utr.tsss)
self.helper.remove_tmp(args_utr.trans)
self.helper.remove_tmp(args_utr.terms)
self.helper.remove_tmp(self.utr5_path)
self.helper.remove_tmp(self.utr3_path)
class TSSpredator(object):
def __init__(self, args_tss):
self.multiparser = Multiparser()
self.helper = Helper()
self.converter = Converter()
self.master = os.path.join(args_tss.out_folder, "MasterTables")
self.tmps = {"tss": "tmp_TSS", "ta_tss": "tmp_ta_tss", "tss_ta":
"tmp_tss", "tmp": "tmp"}
if args_tss.ta_files is not None:
self.tmps["ta"] = os.path.join(args_tss.ta_files, "tmp")
else:
self.tmps["ta"] = None
self.gff_path = os.path.join(args_tss.gffs, "tmp")
self.wig_path = os.path.join(args_tss.wig_folder, "tmp")
self.fasta_path = os.path.join(args_tss.fastas, "tmp")
self.stat_outfolder = os.path.join(args_tss.out_folder, "statistics")
self.gff_outfolder = os.path.join(args_tss.out_folder, "gffs")
def _assign_dict(self, lib_datas):
return {"wig": lib_datas[0],
"tex": lib_datas[1],
"condition": int(lib_datas[2]),
"replicate": lib_datas[3],
"strand": lib_datas[4]}
def _print_lib(self, lib_num, lib_list, out, wig_folder, prefix):
for num_id in range(1, lib_num+1):
cond_list = []
for lib in lib_list:
if num_id == lib["condition"]:
cond_list.append(lib)
cond_sort_list = sorted(cond_list, key=lambda k: k['replicate'])
for cond in cond_sort_list:
out.write("{0}_{1}{2} = {3}\n".format(
prefix, cond["condition"], cond["replicate"],
os.path.join(wig_folder, cond["wig"])))
def _start_to_run(self, tsspredator_path, config_file, out_path, prefix):
print("Running TSSpredator for " + prefix)
out = open(os.path.join(out_path, "log.txt"), "w")
err = open(os.path.join(out_path, "err.txt"), "w")
call(["java", "-jar", tsspredator_path,
config_file], stdout=out, stderr=err)
out.close()
err.close()
def _import_lib(self, libs, wig_folder, project_strain_name,
out, gff, program, fasta):
lib_dict = {"fp": [], "fm": [], "nm": [], "np": []}
lib_num = 0
rep_set = set()
list_num_id = []
print("Runniun {0} now...".format(program))
for lib in libs:
lib_datas = lib.split(":")
if not lib_datas[0].endswith(".wig"):
print("Error:Exist a not proper wig files!!")
sys.exit()
for wig in os.listdir(wig_folder):
filename = wig.split("_STRAIN_")
if (filename[0] == lib_datas[0][:-4]) and (
filename[1][:-4] == project_strain_name):
lib_datas[0] = wig
if int(lib_datas[2]) > lib_num:
lib_num = int(lib_datas[2])
if lib_datas[3] not in rep_set:
rep_set.add(lib_datas[3])
if (lib_datas[1] == "tex") and (lib_datas[4] == "+"):
lib_dict["fp"].append(self._assign_dict(lib_datas))
elif (lib_datas[1] == "tex") and (lib_datas[4] == "-"):
lib_dict["fm"].append(self._assign_dict(lib_datas))
elif (lib_datas[1] == "notex") and (lib_datas[4] == "+"):
lib_dict["np"].append(self._assign_dict(lib_datas))
elif (lib_datas[1] == "notex") and (lib_datas[4] == "-"):
lib_dict["nm"].append(self._assign_dict(lib_datas))
for num_id in range(1, lib_num+1):
out.write("annotation_{0} = {1}\n".format(num_id, gff))
if program.lower() == "tss":
self._print_lib(lib_num, lib_dict["fm"], out,
wig_folder, "fivePrimeMinus")
self._print_lib(lib_num, lib_dict["fp"], out,
wig_folder, "fivePrimePlus")
elif program.lower() == "processing_site":
self._print_lib(lib_num, lib_dict["nm"], out,
wig_folder, "fivePrimeMinus")
self._print_lib(lib_num, lib_dict["np"], out,
wig_folder, "fivePrimePlus")
else:
print("Error: Wrong program name!!!")
sys.exit()
for num_id in range(1, lib_num+1):
out.write("genome_{0} = {1}\n".format(num_id, fasta))
for num_id in range(1, lib_num+1):
list_num_id.append(str(num_id))
return lib_num, num_id, rep_set, lib_dict, list_num_id
def _gen_config(self, project_strain_name, args_tss, gff,
wig_folder, fasta, config_file):
master_folder = "MasterTable_" + project_strain_name
out_path = os.path.join(self.master, master_folder)
self.helper.check_make_folder(out_path)
out = open(config_file, "w")
out.write("TSSinClusterSelectionMethod = HIGHEST\n")
out.write("allowedCompareShift = 1\n")
out.write("allowedRepCompareShift = 1\n")
lib_num, num_id, rep_set, lib_dict, list_num_id = \
self._import_lib(args_tss.libs, wig_folder, project_strain_name,
out, gff, args_tss.program, fasta)
out.write("idList = ")
out.write(",".join(list_num_id) + "\n")
out.write("maxASutrLength = 100\n")
out.write("maxGapLengthInGene = 500\n")
out.write("maxNormalTo5primeFactor = {0}\n".format(
args_tss.processing_factor))
out.write("maxTSSinClusterDistance = {0}\n".format(
args_tss.cluster + 1))
out.write("maxUTRlength = {0}\n".format(args_tss.utr_length))
out.write("min5primeToNormalFactor = {0}\n".format(
args_tss.enrichment_factor))
out.write("minCliffFactor = {0}\n".format(args_tss.factor))
out.write("minCliffFactorDiscount = {0}\n".format(
args_tss.factor_reduction))
out.write("minCliffHeight = {0}\n".format(args_tss.height))
out.write("minCliffHeightDiscount = {0}\n".format(
args_tss.height_reduction))
out.write("minNormalHeight = {0}\n".format(args_tss.base_height))
out.write("minNumRepMatches = {0}\n".format(args_tss.repmatch))
out.write("minPlateauLength = 0\n")
out.write("mode = cond\n")
out.write("normPercentile = 0.9\n")
if args_tss.program.lower() == "tss":
self._print_lib(lib_num, lib_dict["nm"], out,
wig_folder, "normalMinus")
self._print_lib(lib_num, lib_dict["np"], out,
wig_folder, "normalPlus")
else:
self._print_lib(lib_num, lib_dict["fm"], out,
wig_folder, "normalMinus")
self._print_lib(lib_num, lib_dict["fp"], out,
wig_folder, "normalPlus")
out.write("numReplicates = {0}\n".format(len(rep_set)))
out.write("numberOfDatasets = {0}\n".format(lib_num))
out.write("outputDirectory = {0}\n".format(out_path))
for prefix_id in range(len(args_tss.output_prefixs)):
out.write("outputPrefix_{0} = {1}\n".format(
prefix_id + 1, args_tss.output_prefixs[prefix_id]))
out.write("projectName = {0}\n".format(project_strain_name))
out.write("superGraphCompatibility = igb\n")
out.write("texNormPercentile = 0.5\n")
out.write("writeGraphs = 0\n")
out.write("writeNocornacFiles = 0\n")
out.close()
def _convert_gff(self, prefixs, args_tss):
for prefix in prefixs:
out_file = os.path.join(self.gff_outfolder, "_".join([
prefix, args_tss.program]) + ".gff")
gff_f = open(out_file, "w")
out_path = os.path.join(self.master, "_".join([
"MasterTable", prefix]))
if "MasterTable.tsv" not in os.listdir(out_path):
print("Error:there is not MasterTable file in {0}".format(
out_path))
print("Please check configuration file.")
else:
self.converter.convert_mastertable2gff(
os.path.join(out_path, "MasterTable.tsv"),
"ANNOgesic", args_tss.program, prefix, out_file)
gff_f.close()
def _merge_manual(self, tsss, args_tss):
self.helper.check_make_folder(os.path.join(os.getcwd(),
self.tmps["tss"]))
for tss in tsss:
for gff in os.listdir(args_tss.gffs):
if (gff[:-4] == tss) and (".gff" in gff):
break
filename = "_".join([tss, args_tss.program]) + ".gff"
predict = os.path.join(self.gff_outfolder, filename)
print("Running merge and classify manual ....")
stat_file = "stat_compare_TSSpredator_manual_{0}.csv".format(tss)
merge_manual_predict_tss(
predict, stat_file,
os.path.join(self.tmps["tss"], filename),
os.path.join(args_tss.gffs, gff), args_tss)
shutil.move(stat_file, os.path.join(args_tss.out_folder,
"statistics", tss, stat_file))
self.helper.move_all_content(self.tmps["tss"],
self.gff_outfolder, [".gff"])
shutil.rmtree(self.tmps["tss"])
def _validate(self, tsss, args_tss):
print("Running validation of annotation....")
for tss in tsss:
for gff in os.listdir(args_tss.gffs):
if (gff[:-4] == tss) and (".gff" in gff):
break
stat_file = os.path.join(
self.stat_outfolder, tss,
"".join(["stat_gene_vali_", tss, ".csv"]))
out_cds_file = os.path.join(args_tss.out_folder, "tmp.gff")
if args_tss.program.lower() == "tss":
compare_file = os.path.join(self.gff_outfolder,
"_".join([tss, "TSS.gff"]))
elif args_tss.program.lower() == "processing":
compare_file = os.path.join(self.gff_outfolder,
"_".join([tss, "processing.gff"]))
validate_gff(compare_file, os.path.join(args_tss.gffs, gff),
stat_file, out_cds_file, args_tss.utr_length,
args_tss.program.lower())
shutil.move(out_cds_file, os.path.join(args_tss.gffs, gff))
def _compare_ta(self, tsss, args_tss):
detect = False
print("Running compare transcript assembly and TSS ...")
self.multiparser.parser_gff(args_tss.ta_files, "transcript")
self.multiparser.combine_gff(args_tss.gffs, self.tmps["ta"],
None, "transcript")
for tss in tsss:
stat_out = os.path.join(
self.stat_outfolder, tss, "".join([
"stat_compare_TSS_Transcriptome_assembly_",
tss, ".csv"]))
for ta in os.listdir(self.tmps["ta"]):
filename = ta.split("_transcript")
if (filename[0] == tss) and (filename[1] == ".gff"):
detect = True
break
compare_file = os.path.join(self.gff_outfolder,
"_".join([tss, "TSS.gff"]))
if detect:
stat_ta_tss(os.path.join(self.tmps["ta"], ta), compare_file,
stat_out, self.tmps["ta_tss"],
self.tmps["tss_ta"], args_tss.fuzzy)
self.helper.sort_gff(self.tmps["tss_ta"], compare_file)
self.helper.sort_gff(self.tmps["ta_tss"],
os.path.join(args_tss.ta_files, ta))
os.remove(self.tmps["tss_ta"])
os.remove(self.tmps["ta_tss"])
detect = False
def _stat_tss(self, tsss, feature):
print("Running statistaics.....")
for tss in tsss:
compare_file = os.path.join(self.gff_outfolder,
"_".join([tss, feature]) + ".gff")
stat_tsspredator(
compare_file, feature,
os.path.join(self.stat_outfolder, tss, "_".join([
"stat", feature, "class", tss]) + ".csv"),
os.path.join(self.stat_outfolder, tss, "_".join([
"stat", feature, "libs", tss]) + ".csv"))
self.helper.move_all_content(os.getcwd(), os.path.join(
self.stat_outfolder, tss), ["_class", ".png"])
if os.path.exists(os.path.join(
self.stat_outfolder, "TSSstatistics.tsv")):
shutil.move(
os.path.join(
self.stat_outfolder, "TSSstatistics.tsv"),
os.path.join(
self.stat_outfolder, tss, "TSSstatistics.tsv"))
plot_venn(compare_file, feature)
self.helper.move_all_content(os.getcwd(), os.path.join(
self.stat_outfolder, tss), ["_venn", ".png"])
def _set_gen_config(self, args_tss, input_folder):
prefixs = []
detect = False
for fasta in os.listdir(self.fasta_path):
for gff in os.listdir(self.gff_path):
if fasta[:-3] == gff[:-4]:
prefix = fasta[:-3]
for wig in os.listdir(self.wig_path):
filename = wig.split("_STRAIN_")
if filename[1][:-4] == prefix:
detect = True
break
if detect:
prefixs.append(prefix)
config = os.path.join(
input_folder,
"_".join(["config", prefix]) + ".ini")
self._gen_config(
prefix, args_tss,
os.path.join(self.gff_path, gff), self.wig_path,
os.path.join(self.fasta_path, fasta), config)
return prefixs
def _merge_wigs(self, wig_folder, prefix, libs):
self.helper.check_make_folder(os.path.join(os.getcwd(),
self.tmps["tmp"]))
for wig_file in os.listdir(wig_folder):
for lib in libs:
info = lib.split(":")
if (info[0][:-4] in wig_file) and (info[-1] == "+") and (
prefix in wig_file) and (
os.path.isfile(os.path.join(wig_folder, wig_file))):
Helper().merge_file(
os.path.join(wig_folder, wig_file),
os.path.join("tmp", "merge_forward.wig"))
if (info[0][:-4] in wig_file) and (info[-1] == "-") and (
prefix in wig_file) and (
os.path.isfile(os.path.join(wig_folder, wig_file))):
Helper().merge_file(
os.path.join(wig_folder, wig_file),
os.path.join("tmp", "merge_reverse.wig"))
def _check_orphan(self, prefixs, wig_folder, args_tss):
for prefix in prefixs:
self._merge_wigs(wig_folder, prefix, args_tss.libs)
tmp_tss = os.path.join(self.tmps["tmp"], "_".join([
prefix, args_tss.program + ".gff"]))
pre_tss = os.path.join(self.gff_outfolder, "_".join([
prefix, args_tss.program + ".gff"]))
check_orphan(pre_tss, os.path.join(
args_tss.gffs, prefix + ".gff"),
"tmp/merge_forward.wig", "tmp/merge_reverse.wig", tmp_tss)
shutil.move(tmp_tss, pre_tss)
shutil.rmtree("tmp")
def _remove_files(self, args_tss):
print("Remove temperary files and folders...")
self.helper.remove_tmp(args_tss.fastas)
self.helper.remove_tmp(args_tss.gffs)
self.helper.remove_tmp(args_tss.wig_folder)
self.helper.remove_tmp(args_tss.ta_files)
if "merge_forward.wig" in os.listdir(os.getcwd()):
os.remove("merge_forward.wig")
if "merge_reverse.wig" in os.listdir(os.getcwd()):
os.remove("merge_reverse.wig")
def _deal_with_overlap(self, out_folder, args_tss):
if args_tss.overlap_feature.lower() == "both":
pass
else:
print("Comparing TSS and Processing site...")
if args_tss.program.lower() == "tss":
for tss in os.listdir(out_folder):
if tss.endswith("_TSS.gff"):
ref = self.helper.get_correct_file(
args_tss.references, "_processing.gff",
tss.replace("_TSS.gff", ""), None, None)
filter_tss_pro(os.path.join(out_folder, tss),
ref, args_tss.overlap_feature,
args_tss.cluster)
elif args_tss.program.lower() == "processing_site":
for tss in os.listdir(out_folder):
if tss.endswith("_processing.gff"):
ref = self.helper.get_correct_file(
args_tss.references, "_TSS.gff",
tss.replace("_processing.gff", ""), None, None)
filter_tss_pro(os.path.join(out_folder, tss),
ref, args_tss.overlap_feature,
args_tss.cluster)
def _low_expression(self, args_tss, gff_folder):
prefix = None
self._merge_wigs(args_tss.wig_folder, "wig", args_tss.libs)
for gff in os.listdir(gff_folder):
if (args_tss.program.lower() == "tss") and (
gff.endswith("_TSS.gff")):
prefix = gff.replace("_TSS.gff", "")
elif (args_tss.program.lower() == "processing") and (
gff.endswith("_processing.gff")):
prefix = gff.replace("_processing.gff", "")
if prefix:
out = open(os.path.join(
self.stat_outfolder, prefix, "_".join([
"stat", prefix, "low_expression_cutoff.csv"])), "w")
out.write("\t".join(["strain", "cutoff_coverage"]) + "\n")
cutoff = filter_low_expression(
os.path.join(gff_folder, gff), args_tss,
"tmp/merge_forward.wig", "tmp/merge_reverse.wig",
"tmp/without_low_expression.gff")
out.write("\t".join([prefix, str(cutoff)]) + "\n")
os.remove(os.path.join(gff_folder, gff))
shutil.move("tmp/without_low_expression.gff",
os.path.join(gff_folder, gff))
prefix = None
out.close()
def run_tsspredator(self, args_tss):
input_folder = os.path.join(args_tss.out_folder, "configs")
for gff in os.listdir(args_tss.gffs):
if gff.endswith(".gff"):
self.helper.check_uni_attributes(os.path.join(
args_tss.gffs, gff))
self.helper.check_make_folder(self.gff_outfolder)
self.multiparser.parser_fasta(args_tss.fastas)
self.multiparser.parser_gff(args_tss.gffs, None)
self.multiparser.parser_wig(args_tss.wig_folder)
prefixs = self._set_gen_config(args_tss, input_folder)
for prefix in prefixs:
out_path = os.path.join(
self.master, "_".join(["MasterTable", prefix]))
config_file = os.path.join(
input_folder, "_".join(["config", prefix]) + ".ini")
self._start_to_run(args_tss.tsspredator_path, config_file,
out_path, prefix)
if os.path.exists(os.path.join(out_path, "TSSstatistics.tsv")):
shutil.move(os.path.join(out_path, "TSSstatistics.tsv"),
os.path.join(
self.stat_outfolder, "TSSstatistics.tsv"))
if args_tss.program.lower() == "processing_site":
args_tss.program = "processing"
self._convert_gff(prefixs, args_tss)
if args_tss.check_orphan:
print("checking the orphan TSS...")
self._check_orphan(prefixs,
os.path.join(args_tss.wig_folder, "tmp"),
args_tss)
self.multiparser.combine_gff(args_tss.gffs, self.gff_outfolder,
None, args_tss.program)
datas = []
for gff in os.listdir(self.gff_outfolder):
if gff.endswith(".gff"):
gff_folder = gff.replace("".join(["_", args_tss.program,
".gff"]), "")
self.helper.check_make_folder(
os.path.join(self.stat_outfolder, gff_folder))
datas.append(gff_folder)
if args_tss.remove_low_expression is not None:
self._low_expression(args_tss, self.gff_outfolder)
if args_tss.manual is not None:
self.multiparser.combine_wig(args_tss.gffs, self.wig_path,
None, args_tss.libs)
self._merge_manual(datas, args_tss)
self._deal_with_overlap(self.gff_outfolder, args_tss)
if args_tss.stat:
self._stat_tss(datas, args_tss.program)
if args_tss.validate:
self._validate(datas, args_tss)
if args_tss.ta_files is not None:
self._compare_ta(datas, args_tss)
self._remove_files(args_tss)
