def add_seeds_options(p, args):
g1 = OptionGroup(p, "Image manipulation")
g1.add_option("--rotate", default=0, type="int",
help="Rotate degrees clockwise")
g1.add_option("--rows", default=':',
help="Crop rows e.g. `:800` from first 800 rows")
g1.add_option("--cols", default=':',
help="Crop cols e.g. `-800:` from last 800 cols")
g1.add_option("--labelrows",
help="Label rows e.g. `:800` from first 800 rows")
g1.add_option("--labelcols",
help="Label cols e.g. `-800: from last 800 rows")
valid_colors = ("red", "green", "blue", "purple", "yellow", "orange", 'INVERSE')
g1.add_option("--changeBackground", default=0, choices=valid_colors,
help="Changes background color")
p.add_option_group(g1)
g2 = OptionGroup(p, "Object recognition")
g2.add_option("--minsize", default=.05, type="float",
help="Min percentage of object to image")
g2.add_option("--maxsize", default=50, type="float",
help="Max percentage of object to image")
g2.add_option("--count", default=100, type="int",
help="Report max number of objects")
g2.add_option("--watershed", default=False, action="store_true",
help="Run watershed to segment touching objects")
p.add_option_group(g2)
g3 = OptionGroup(p, "De-noise")
valid_filters = ("canny", "roberts", "sobel")
g3.add_option("--filter", default="canny", choices=valid_filters,
help="Edge detection algorithm")
g3.add_option("--sigma", default=1, type="int",
help="Canny edge detection sigma, higher for noisy image")
g3.add_option("--kernel", default=2, type="int",
help="Edge closure, higher if the object edges are dull")
g3.add_option("--border", default=5, type="int",
help="Remove image border of certain pixels")
p.add_option_group(g3)
g4 = OptionGroup(p, "Output")
g4.add_option("--calibrate", help="JSON file to correct distance and color")
g4.add_option("--edges", default=False, action="store_true",
help="Visualize edges in middle PDF panel")
g4.add_option("--outdir", default=".",
help="Store intermediate images and PDF in folder")
g4.add_option("--prefix", help="Output prefix")
g4.add_option("--noheader", default=False, action="store_true",
help="Do not print header")
p.add_option_group(g4)
opts, args, iopts = p.set_image_options(args, figsize='12x6', style="white")
return opts, args, iopts
def annotate(args):
"""
%prog annotate new.bed old.bed 2> log
Annotate the `new.bed` with features from `old.bed` for the purpose of
gene numbering.
Ambiguity in ID assignment can be resolved by either of the following 2 methods:
- `alignment`: make use of global sequence alignment score (calculated by `needle`)
- `overlap`: make use of overlap length (calculated by `intersectBed`)
Transfer over as many identifiers as possible while following guidelines:
http://www.arabidopsis.org/portals/nomenclature/guidelines.jsp#editing
Note: Following RegExp pattern describes the structure of the identifier
assigned to features in the `new.bed` file.
new_id_pat = re.compile(r"^\d+\.[cemtx]+\S+")
Examples: 23231.m312389, 23231.t004898, 23231.tRNA.144
Adjust the value of `new_id_pat` manually as per your ID naming conventions.
"""
from jcvi.utils.grouper import Grouper
valid_resolve_choices = ["alignment", "overlap"]
p = OptionParser(annotate.__doc__)
p.add_option("--resolve", default="alignment", choices=valid_resolve_choices,
help="Resolve ID assignment based on a certain metric" \
+ " [default: %default]")
p.add_option("--atg_name", default=False, action="store_true",
help="Specify is locus IDs in `new.bed` file follow ATG nomenclature" \
+ " [default: %default]")
g1 = OptionGroup(p, "Optional parameters (alignment):\n" \
+ "Use if resolving ambiguities based on sequence `alignment`")
g1.add_option("--pid",
dest="pid",
default=35.,
type="float",
help="Percent identity cutoff [default: %default]")
g1.add_option("--score",
dest="score",
default=250.,
type="float",
help="Alignment score cutoff [default: %default]")
p.add_option_group(g1)
g2 = OptionGroup(p, "Optional parameters (overlap):\n" \
+ "Use if resolving ambiguities based on `overlap` length\n" \
+ "Parameters equivalent to `intersectBed`")
g2.add_option(
"-f",
dest="f",
default=0.5,
type="float",
help="Minimum overlap fraction (0.0 - 1.0) [default: %default]")
g2.add_option(
"-r",
dest="r",
default=False,
action="store_true",
help="Require fraction overlap to be reciprocal [default: %default]")
g2.add_option("-s",
dest="s",
default=True,
action="store_true",
help="Require same strandedness [default: %default]")
p.add_option_group(g2)
opts, args = p.parse_args(args)
if len(args) != 2:
sys.exit(not p.print_help())
nbedfile, obedfile = args
npf, opf = nbedfile.rsplit(".", 1)[0], obedfile.rsplit(".", 1)[0]
# Make consolidated.bed
cbedfile = "consolidated.bed"
if not os.path.isfile(cbedfile):
consolidate(nbedfile, obedfile, cbedfile)
else:
logging.warning("`{0}` already exists. Skipping step".format(cbedfile))
logging.warning("Resolving ID assignment ambiguity based on `{0}`".\
format(opts.resolve))
if opts.resolve == "alignment":
# Get pairs and prompt to run needle
pairsfile = "nw.pairs"
scoresfile = "nw.scores"
if not os.path.isfile(pairsfile):
get_pairs(cbedfile, pairsfile)
else:
logging.warning("`{0}` already exists. Checking for needle output".\
format(pairsfile))
# If needle scores do not exist, prompt user to run needle
if not os.path.isfile(scoresfile):
logging.error("`{0}` does not exist. Please process {1} using `needle`".\
format(scoresfile, pairsfile))
sys.exit()
else:
scoresfile = "ovl.scores"
# Calculate overlap length using intersectBed
calculate_ovl(nbedfile, obedfile, opts, scoresfile)
logging.warning("`{0}' exists. Storing scores in memory".\
format(scoresfile))
scores = read_scores(scoresfile, opts)
# Iterate through consolidated bed and
# filter piles based on score
abedline = {}
cbed = Bed(cbedfile)
g = Grouper()
for c in cbed:
accn = c.accn
g.join(*accn.split(";"))
nbedline = {}
nbed = Bed(nbedfile)
for line in nbed:
nbedline[line.accn] = line
splits = set()
for chr, chrbed in nbed.sub_beds():
abedline, splits = annotate_chr(chr, chrbed, g, scores, nbedline,
abedline, opts, splits)
if splits is not None:
abedline = process_splits(splits, scores, nbedline, abedline)
abedfile = npf + ".annotated.bed"
afh = open(abedfile, "w")
for accn in abedline:
print >> afh, abedline[accn]
afh.close()
sort([abedfile, "-i"])
if sqlite:
c.execute("create index q on synteny (query)")
conn.commit()
c.close()
else:
fw.close()
if __name__ == '__main__':
p = OptionParser(__doc__)
p.set_beds()
p.set_stripnames()
p.set_outfile()
coge_group = OptionGroup(p, "CoGe-specific options")
coge_group.add_option("--sqlite", help="Write sqlite database")
coge_group.add_option("--qnote",
default="null",
help="Query dataset group id")
coge_group.add_option("--snote",
default="null",
help="Subject dataset group id")
params_group = OptionGroup(p, "Synteny parameters")
params_group.add_option("--window",
type="int",
default=40,
help="Synteny window size")
params_group.add_option("--cutoff",
type="float",
def prepare(args):
"""
%prog prepare --rearray_lib=<rearraylibrary> --orig_lib_file=<origlibfile>
Inferred file names
---------------------------------------------
`lookuptblfile` : rearraylibrary.lookup
`rearraylibfile`: rearraylibrary.fasta
Pick sequences from the original library file and the rearrayed library file
based on the mapping information provided in the `lookuptblfile`.
# lookuptblfile format: column number (index)
# 1 (0) 2 (1) 3 (2) 4 (3) 5 (4) 6 (5)
# source_clone source_plate source_well dest_clone dest_plate dest_well
The 1st and 4th column in the `lookuptblfile` form the pair of clones which
constitute the elements used for the per-clone assembly.
"""
from operator import itemgetter
from jcvi.formats.fasta import Fasta, SeqIO
p = OptionParser(prepare.__doc__)
p.add_option("--rearray_lib",
default=None,
help="name of the rearrayed library [default: %default]")
p.add_option(
"--orig_lib_file",
help=
"fasta file containing reads from the original libraries [default: %default]"
)
g = OptionGroup(p, "Optional parameters")
g.add_option(
"--output_folder",
default="to_assemble",
help="output folder to write the FASTA files to [default: %default]")
p.add_option_group(g)
opts, args = p.parse_args(args)
if not opts.rearray_lib or not opts.orig_lib_file:
logging.error("Please specify the required parameters")
sys.exit(not p.print_help())
rearraylib, origlibfile = opts.rearray_lib, opts.orig_lib_file
if not op.isfile(origlibfile):
logging.error(
"Original library reads file `{0}` does not exist!".format(
origlibfile))
sys.exit()
lookuptblfile = rearraylib + '.lookup'
logging.debug(lookuptblfile)
if not op.isfile(lookuptblfile):
logging.error(
"Lookup table file `{0}` does not exist!".format(lookuptblfile))
sys.exit()
rearraylibfile = rearraylib + '.fasta'
logging.debug(rearraylibfile)
if not op.isfile(rearraylibfile):
logging.error(
"Rearrayed library reads file `{0}` does not exist!".format(
rearraylibfile))
sys.exit()
origlibFasta = Fasta(origlibfile)
rearraylibFasta = Fasta(rearraylibfile)
origlibids = [o for o in origlibFasta.iterkeys_ordered()]
rearraylibids = [r for r in rearraylibFasta.iterkeys_ordered()]
if not op.isdir(opts.output_folder):
logging.warning(
"Output directory `{0}` missing. Creating it now...".format(
opts.output_folder))
os.makedirs(opts.output_folder)
logfile = rearraylib + '.log'
log = open(logfile, 'w')
fp = open(lookuptblfile, 'r')
for row in fp:
origprefix, rearrayprefix = itemgetter(0, 3)(row.split('\t'))
libpair = origprefix + '_' + rearrayprefix
outfile = opts.output_folder + '/' + libpair + '.fasta'
ofp = open(outfile, 'w')
for o in origlibids:
if re.match(origprefix, o):
SeqIO.write(origlibFasta[o], ofp, 'fasta')
for r in rearraylibids:
if re.match(rearrayprefix, r):
SeqIO.write(rearraylibFasta[r], ofp, 'fasta')
ofp.close()
print(outfile, file=log)
log.close()
logging.debug('Wrote log file `{0}`'.format(logfile))
def assemble(args):
"""
Run `cap3` on a single multi FASTA file containing reads or a folder containing several
multi FASTA files. Allows for tweaking of `cap3` parameters max_gap_len, ovl_pct_id, etc.
"""
p = OptionParser(assemble.__doc__)
g1 = OptionGroup(
p, "Input file options (required)",
"Note: Please choose from and provide values for one of the following parameters"
)
g1.add_option("--input_file",
default=None,
help="input file of reads [default: %default]")
g1.add_option(
"--input_folder",
default=None,
help=
"input folder containing multi FASTA files of reads [default: %default]"
)
g1.add_option(
"--input_file_list",
default=None,
help=
"list file containing paths to multi FASTA files of reads [default: %default]"
)
p.add_option_group(g1)
g2 = OptionGroup(p, "Optional parameters",
"Note: If not specified, `cap3` defaults will be used")
g2.add_option("-f", "--max_gap_len", default=20, type="int",
help="maximum gap length in any overlap [default: %default]\n" +\
"Same as cap3 `-f` parameter.")
g2.add_option("-p", "--ovl_pct_id", default=90, type="int",
help="overlap percent identity cutoff [default: %default]\n" +\
"Same as cap3 `-p` parameter.")
g2.add_option("-s", "--ovl_sim_score", default=900, type="int",
help="overlap similarity score cutoff [default: %default]\n" +\
"Same as cap3 `-s` parameter.")
g2.add_option(
"-x",
"--prefix",
dest="prefix",
default="cap3",
help="prefix string for output file name [default: %default]")
p.add_option_group(g2)
p.set_params()
opts, args = p.parse_args(args)
if opts.max_gap_len and opts.max_gap_len <= 1:
logging.error("--max_gap_len should be > 1")
sys.exit()
elif opts.ovl_pct_id and opts.ovl_pct_id <= 65:
logging.error("--ovl_pct_id should be > 65")
sys.exit()
elif opts.ovl_sim_score and opts.ovl_sim_score <= 250:
logging.error("--ovl_sim_score should be > 250")
sys.exit()
file_list = []
if opts.input_file_list:
if not op.isfile(opts.input_file_list):
logging.error("Input file list {0} does not exist".format(
opts.input_file_list))
sys.exit()
with open(opts.input_file_list, 'r') as f:
file_list = f.read().splitlines()
elif opts.input_folder:
if not op.isdir(opts.input_folder):
logging.error("Input folder {0} does not exist".format(
opts.input_folder))
sys.exit()
file_list = [file for file in os.listdir(opts.input_folder) \
if file.lower().endswith(('.fa', '.fasta'))]
folder = opts.input_folder
folder = folder.rstrip('/')
for i in xrange(len(file_list)):
file_list[i] = folder + "/" + file_list[i]
elif opts.input_file:
file_list.append(opts.input_file)
else:
logging.error("Please specify one of the options for input files")
sys.exit(not p.print_help())
if len(file_list) == 0:
logging.warning(
"List of files to process is empty. Please check your input!")
sys.exit()
for file in file_list:
if not op.isfile(file):
logging.warning("Input file {0} does not exist".format(file))
else:
cmd = "cap3 {0} -f {1} -p {2} -s {3} -x {4}".format(file, opts.max_gap_len, \
opts.ovl_pct_id, opts.ovl_sim_score, opts.prefix)
if opts.extra:
cmd += " {0}".format(opts.extra)
logfile = "{0}.{1}.log".format(file, opts.prefix)
sh(cmd, outfile=logfile)
def main():
"""
%prog bedfile id_mappings
Takes a bedfile that contains the coordinates of features to plot on the
chromosomes, and `id_mappings` file that map the ids to certain class. Each
class will get assigned a unique color. `id_mappings` file is optional (if
omitted, will not paint the chromosome features, except the centromere).
The extent of the chromosomes are given by --sizes, which contains
chr<tab>size, one per line. If not specified, the extent of the chromosomes
are assumed to be the end for the last feature, which might be an underestimate.
"""
p = OptionParser(main.__doc__)
p.add_option(
"--sizes",
help="FASTA sizes file, which contains chr<tab>size, one per line")
g = OptionGroup(p, "Display accessories")
g.add_option(
"--title",
help="title of the image",
)
g.add_option(
"--gauge",
default=False,
action="store_true",
help="draw a gauge with size label",
)
p.add_option_group(g)
g = OptionGroup(p, "HTML image map")
g.add_option(
"--imagemap",
default=False,
action="store_true",
help="generate an HTML image map associated with the image",
)
g.add_option(
"--winsize",
default=50000,
type="int",
help=
"if drawing an imagemap, specify the window size (bases) of each map element ",
)
p.add_option_group(g)
g = OptionGroup(p, "Color legend")
g.add_option(
"--nolegend",
dest="legend",
default=True,
action="store_false",
help="Do not generate color legend",
)
g.add_option("--mergedist",
default=0,
type="int",
help="Merge regions closer than ")
g.add_option("--empty", help="Write legend for unpainted region")
p.add_option_group(g)
opts, args, iopts = p.set_image_options(figsize="6x6", dpi=300)
if len(args) not in (1, 2):
sys.exit(p.print_help())
bedfile = args[0]
mappingfile = None
if len(args) == 2:
mappingfile = args[1]
fig = plt.figure(1, (iopts.w, iopts.h))
root = fig.add_axes([0, 0, 1, 1])
draw_chromosomes(
root,
bedfile,
sizes=opts.sizes,
iopts=iopts,
mergedist=opts.mergedist,
winsize=opts.winsize,
imagemap=opts.imagemap,
mappingfile=mappingfile,
gauge=opts.gauge,
legend=opts.legend,
empty=opts.empty,
title=opts.title,
)
root.set_xlim(0, 1)
root.set_ylim(0, 1)
root.set_axis_off()
prefix = bedfile.rsplit(".", 1)[0]
figname = prefix + "." + opts.format
savefig(figname, dpi=iopts.dpi, iopts=iopts)