def main(argv):
parser = OptionParser()
parser.add_option("-s", "--species", action="store", type="string", dest="species", help="species, mm8, hg18", metavar="<str>")
parser.add_option("-a", "--summary_graph_file1", action="store", type="string", dest="bedfile1", metavar="<file>", help="summary graph file 1 in bed format")
parser.add_option("-b", "--summary_graph_file2", action="store", type="string", dest="bedfile2", metavar="<file>", help="summary graph file 2 in bed format")
parser.add_option("-i", "--windows_size", action="store", type="int", dest="window_size", metavar="<int>", help="window size in summary graph file")
parser.add_option("-d", "--data_resolution", action="store", type="int", dest="step", metavar="<int>", help="distance between data points, must be integer times of window size")
parser.add_option("-o", "--outfile", action="store", type="string", dest="out_file", metavar="<file>", help="output file extension")
(opt, args) = parser.parse_args(argv)
if len(argv) < 8:
parser.print_help()
sys.exit(1)
if opt.species in species_chroms.keys():
chroms = species_chroms[opt.species];
chrom_lengths = species_chrom_lengths[opt.species];
else:
print "This species is not recognized, exiting";
sys.exit(1);
SeparateByChrom.separateByChrom(['chr1'], opt.bedfile1, '.bed1')
SeparateByChrom.separateByChrom(['chr1'], opt.bedfile2, '.bed2')
generate_all_functions_2('.bed1', '.bed2', ['chr1'], opt.window_size, opt.step, opt.out_file, chrom_lengths)
SeparateByChrom.cleanup(['chr1'], '.bed1')
SeparateByChrom.cleanup(['chr1'], '.bed2')
def main(argv):
parser = OptionParser()
parser.add_option("-s", "--species", action="store", type="string",
dest="species", help="species under consideration", metavar="<str>")
parser.add_option("-b", "--raw_bed_file", action="store", type="string",
dest="bed_file", help="raw bed file", metavar="<file>")
parser.add_option("-t", "--threshold", action="store", type="int",
dest="threshold", help="threshold for copy number", metavar="<int>")
parser.add_option("-o", "--output_file_name", action="store", type="string",
dest="out_file", help="output file name", metavar="<file>")
(opt, args) = parser.parse_args(argv)
if len(argv) < 8:
parser.print_help()
sys.exit(1)
if opt.species in GenomeData.species_chroms.keys():
chroms = GenomeData.species_chroms[opt.species];
else:
print "This species is not recognized, exiting";
sys.exit(1);
SeparateByChrom.separateByChrom(chroms, opt.bed_file, '.bed1')
for chrom in chroms:
if (Utility.fileExists(chrom + ".bed1")):
strand_broken_remove(chrom, opt.threshold)
SeparateByChrom.combineAllGraphFiles(chroms, '.bed2', opt.out_file)
SeparateByChrom.cleanup(chroms, '.bed1')
SeparateByChrom.cleanup(chroms, '.bed2')
def find_windows_on_islands(species, summary_graph_file, islands_file, window_size, out_file, window_read_count_threshold=0):
summary_graph_extension=".summarygraph"
island_extension=".islands"
chroms = species_chroms[species];
SeparateByChrom.separateByChrom(chroms, summary_graph_file, summary_graph_extension)
SeparateByChrom.separateByChrom(chroms, islands_file, island_extension)
windows_on_island={};
for chrom in chroms:
if Utility.fileExists(chrom+summary_graph_extension) and Utility.fileExists(chrom+island_extension):
summary = BED.BED(species, chrom+summary_graph_extension, "BED_GRAPH", 0);
islands = BED.BED(species, chrom+island_extension, "BED_GRAPH", 0);
windows_on_island[chrom] = filter_out_uncovered_windows(islands[chrom], summary[chrom], window_size)
if out_file !="":
f = open(out_file, 'w')
for chrom in chroms:
if chrom in windows_on_island.keys():
for item in windows_on_island[chrom]:
if (item.value >= window_read_count_threshold):
f.write(item.chrom + '\t' + str(item.start) +'\t'+ str(item.end) +'\t'+ str(item.value) + '\n')
f.close()
SeparateByChrom.cleanup(chroms, summary_graph_extension);
SeparateByChrom.cleanup(chroms, island_extension);
return windows_on_island;
def main(argv):
"""
Note the window_size and the fragment_size are both input as strings, as they are used in
a shell script in makeGraphFile.
"""
parser = OptionParser()
parser.add_option("-s",
"--species",
action="store",
type="string",
dest="species",
help="mm8,hg18,dm2,etc",
metavar="<str>")
parser.add_option("-b",
"--bed_file",
action="store",
type="string",
dest="bedfile",
help="bed file to make graph file of",
metavar="<file>")
parser.add_option("-w",
"--window_size",
action="store",
type="int",
dest="window_size",
help="window size",
metavar="<int>")
parser.add_option("-i",
"--fragment_size",
action="store",
type="int",
dest="fragment_size",
help="size of fragments after CHIP experiment",
metavar="<int>")
parser.add_option("-o",
"--outfile",
action="store",
type="string",
dest="outfile",
help="output bed summary file name",
metavar="<file>")
(opt, args) = parser.parse_args(argv)
if len(argv) < 10:
parser.print_help()
sys.exit(1)
if opt.species in GenomeData.species_chroms.keys():
chroms = GenomeData.species_chroms[opt.species]
chrom_lengths = GenomeData.species_chrom_lengths[opt.species]
SeparateByChrom.separateByChrom(chroms, opt.bedfile, ".bed")
makeGraphFile(chroms, chrom_lengths, opt.window_size,
opt.fragment_size)
final_output_file = opt.outfile
final_output_file = SeparateByChrom.combineAllGraphFiles(
chroms, ".graph", final_output_file)
SeparateByChrom.cleanup(chroms, ".bed")
SeparateByChrom.cleanup(chroms, ".graph")
else:
print opt.species + " is not in the species list "
def get_read_count_on_genes(rawreadfile, fragment_size, knowngenefile,
regiontype, promoter_upstream_extension,
promoter_downstream_extension):
"""
Promoter and GeneBody are mutually exclusive.
Promoter: TSS-upstreamextention, TSS+downstreamextension
PromoterGenebody: Promoter + gene body.
Return: a dictionary with key of gene name and value of read count
"""
knowngenes = UCSC.KnownGenes(knowngenefile)
chroms = knowngenes.keys()
allowed_region_type = ['Promoter', 'GeneBody', 'PromoterGenebody']
if regiontype == 'Promoter':
region_dic = knowngenes.getPromoters(promoter_upstream_extension,
promoter_downstream_extension)
elif regiontype == 'GeneBody':
region_dic = knowngenes.getGenebodys(promoter_downstream_extension)
elif regiontype == 'PromoterGenebody':
region_dic = knowngenes.getPromotergenebodys(
promoter_upstream_extension)
else:
print " The allowed region types are Promoter, GeneBody and PromoterGenebody. The region type is not recognized, exiting"
sys.exit(1)
if Utility.fileExists(rawreadfile):
SeparateByChrom.separateByChrom(chroms, rawreadfile, '.bed1')
else:
print rawreadfile, " not found"
sys.exit(1)
genes = {}
for chrom in chroms:
(gene_name_list, region_start_list,
region_end_list) = get_feature_lists(region_dic[chrom])
tag_position_list = []
read_file = chrom + ".bed1"
f = open(read_file, 'r')
for line in f:
if not re.match("#", line):
line = line.strip()
sline = line.split()
tag_position_list.append(
associate_tags_with_regions.tag_position(
sline, fragment_size))
f.close()
tag_position_list.sort()
#A list, with total tag number on this region, order as the region lists
tag_count_list = associate_tags_with_regions.find_readcount_on_regions(
tag_position_list, region_start_list, region_end_list)
assert len(gene_name_list) == len(tag_count_list)
for i in range(0, len(gene_name_list)):
genes[gene_name_list[i]] = tag_count_list[i]
SeparateByChrom.cleanup(chroms, '.bed1')
return genes
def main(argv):
parser = OptionParser()
parser.add_option("-s", "--species", action="store",
type="string", dest="species",
help="species, mm8, hg18, etc", metavar="<str>")
parser.add_option("-a", "--rawbedfile", action="store",
type="string", dest="bedfile",
metavar="<file>",
help="raw data file in bed format")
parser.add_option("-i", "--shift", action="store",
type="int", dest="shift",
metavar="<int>",
help="shift for finding the center of DNA fragment represented by the read")
parser.add_option("-b", "--islandfile", action="store", type="string",
dest="islandbedfile", metavar="<file>",
help="island file")
parser.add_option("-o", "--outfile", action="store", type="string",
dest="out_file", metavar="<file>",
help="filtered raw bed file")
(opt, args) = parser.parse_args(argv)
if len(argv) < 10:
parser.print_help()
sys.exit(1)
if opt.species in species_chroms.keys():
chroms = species_chroms[opt.species];
else:
print "This species is not recognized, exiting";
sys.exit(1);
islands = BED_revised.BED_annotated(opt.species, opt.islandbedfile, "BED3", 0);
libName = (opt.bedfile).split('/')[-1] #remove directories
libName = libName.split('.')[0] #remove .bed
extension = "-" + libName +'.bed1'
SeparateByChrom.separateByChrom(chroms, opt.bedfile, extension)
for chrom in chroms:
if chrom in islands.keys():
outfile = chrom + "-filtered" + extension
# [(island, rc)]
island_rc = filter_tags_by_islands(chrom + extension, islands[chrom], opt.shift, outfile, boundary_extension=0)
output_island_with_rc(island_rc, chrom + "-islands" + extension)
SeparateByChrom.combineAllGraphFiles(chroms, "-islands" + extension, "islands" + extension);
SeparateByChrom.combineAllGraphFiles(chroms, "-filtered" + extension, opt.out_file);
SeparateByChrom.cleanup(chroms, extension);
SeparateByChrom.cleanup(chroms, "-filtered" + extension);
SeparateByChrom.cleanup(chroms, "-islands" + extension);
def main(argv):
parser = OptionParser()
parser.add_option("-a", "--islandfile1", action="store", type="string", dest="islandfile1", metavar="<file>", help="file 1 with islands info to be unioned")
parser.add_option("-b", "--islandfile2", action="store", type="string", dest="islandfile2", metavar="<file>", help="file 2 with islands info to be unioned; if no, type in any word")
parser.add_option("-s", "--species", action="store", type="string", dest="species", help="species, mm8 or hg18", metavar="<str>")
parser.add_option("-o", "--outputfile", action="store", type="string", dest="outfile", metavar="<file>", help="output file name")
(opt, args) = parser.parse_args(argv)
if len(argv) < 8:
parser.print_help()
sys.exit(1)
if opt.species in species_chroms.keys():
chroms = species_chroms[opt.species];
else:
print "This species is not recognized, exiting";
sys.exit(1);
SeparateByChrom.separateByChrom(chroms, opt.islandfile1, '.island1')
if Utility.fileExists(opt.islandfile2):
SeparateByChrom.separateByChrom(chroms, opt.islandfile2, '.island2')
for chrom in chroms:
f = open(chrom + '.output', 'w')
bed_vals_1 = BED.BED(opt.species, chrom+'.island1', "BED3", 0)
bed_vals_2 = BED.BED(opt.species, chrom+'.island2', "BED3", 0)
if len(bed_vals_1[chrom]) > 0 or len(bed_vals_2[chrom]) > 0:
islandlist = bed_vals_1[chrom] + bed_vals_2[chrom];
union_islands_to_file(islandlist, f)
f.close()
SeparateByChrom.cleanup(chroms, '.island2')
else:
for chrom in chroms:
f = open(chrom + '.output', 'w')
bed_vals_1 = BED.BED(opt.species, chrom+'.island1', "BED3", 0)
if len(bed_vals_1[chrom]) > 0:
islandlist = bed_vals_1[chrom]
union_islands_to_file(islandlist, f)
f.close()
SeparateByChrom.combineAllGraphFiles(chroms, '.output', opt.outfile);
SeparateByChrom.cleanup(chroms, '.output')
SeparateByChrom.cleanup(chroms, '.island1')
def main(argv):
parser = OptionParser()
parser.add_option("-s", "--species", action="store",
type="string", dest="species",
help="species, mm8, hg18", metavar="<str>")
parser.add_option("-a", "--rawbedfile", action="store",
type="string", dest="bedfile",
metavar="<file>",
help="raw data file in bed format")
parser.add_option("-i", "--fragment_size", action="store",
type="int", dest="fragment_size",
metavar="<int>",
help="average size of a fragment after CHIP experiment")
parser.add_option("-b", "--islandfile", action="store", type="string",
dest="islandbedfile", metavar="<file>",
help="island file")
parser.add_option("-o", "--outfile", action="store", type="string",
dest="out_file", metavar="<file>",
help="filtered raw bed file")
(opt, args) = parser.parse_args(argv)
if len(argv) < 10:
parser.print_help()
sys.exit(1)
if opt.species in species_chroms.keys():
chroms = species_chroms[opt.species];
else:
print "This species is not recognized, exiting";
sys.exit(1);
islands = BED.BED(opt.species, opt.islandbedfile, "BED3", 0);
SeparateByChrom.separateByChrom(chroms, opt.bedfile, '.bed1')
filter_tags_by_islands(chroms, islands, opt.fragment_size)
final_output_file = opt.out_file;
final_output_file = SeparateByChrom.combineAllGraphFiles(chroms,
'_filtered.bed1',
final_output_file);
SeparateByChrom.cleanup(chroms,'.bed1');
SeparateByChrom.cleanup(chroms,'_filtered.bed1');
def find_windows_on_islands(species,
summary_graph_file,
islands_file,
window_size,
out_file,
window_read_count_threshold=0):
summary_graph_extension = ".summarygraph"
island_extension = ".islands"
chroms = species_chroms[species]
SeparateByChrom.separateByChrom(chroms, summary_graph_file,
summary_graph_extension)
SeparateByChrom.separateByChrom(chroms, islands_file, island_extension)
windows_on_island = {}
for chrom in chroms:
if Utility.fileExists(chrom +
summary_graph_extension) and Utility.fileExists(
chrom + island_extension):
summary = BED.BED(species, chrom + summary_graph_extension,
"BED_GRAPH", 0)
islands = BED.BED(species, chrom + island_extension, "BED_GRAPH",
0)
windows_on_island[chrom] = filter_out_uncovered_windows(
islands[chrom], summary[chrom], window_size)
if out_file != "":
f = open(out_file, 'w')
for chrom in chroms:
if chrom in windows_on_island.keys():
for item in windows_on_island[chrom]:
if (item.value >= window_read_count_threshold):
f.write(item.chrom + '\t' + str(item.start) + '\t' +
str(item.end) + '\t' + str(item.value) + '\n')
f.close()
SeparateByChrom.cleanup(chroms, summary_graph_extension)
SeparateByChrom.cleanup(chroms, island_extension)
return windows_on_island
def main(argv):
parser = OptionParser()
parser.add_option("-s", "--species", action="store", type="string", dest="species", help="species, mm8, hg18", metavar="<str>")
parser.add_option("-a", "--summarygraphfile", action="store", type="string", dest="bedfile", metavar="<file>", help="summary graph file")
parser.add_option("-b", "--islandfile", action="store", type="string", dest="islandbedfile", metavar="<file>", help="island file")
parser.add_option("-o", "--outfile", action="store", type="string", dest="out_file", metavar="<file>", help="filtered summary graph file")
parser.add_option("-w", "--window_size", action="store", type="int", dest="window_size", help="window size of summary graph", metavar="<int>")
(opt, args) = parser.parse_args(argv)
if len(argv) < 10:
parser.print_help()
sys.exit(1)
if opt.species in species_chroms.keys():
chroms = species_chroms[opt.species];
else:
print "This species is not recognized, exiting";
sys.exit(1);
summary_graph_extension=".summarygraph"
island_extension=".islands"
SeparateByChrom.separateByChrom(chroms, opt.bedfile, summary_graph_extension)
SeparateByChrom.separateByChrom(chroms, opt.islandbedfile, island_extension)
f = open(opt.out_file, 'w')
for chrom in chroms:
if Utility.fileExists(chrom+summary_graph_extension) and Utility.fileExists(chrom+island_extension):
summary = BED.BED(opt.species, chrom+summary_graph_extension, "BED_GRAPH", 0);
islands = BED.BED(opt.species, chrom+island_extension, "BED_GRAPH", 0);
result = filter_out_uncovered_windows(islands[chrom], summary[chrom], opt.window_size)
for item in result:
f.write(item.chrom + '\t' + str(item.start) +'\t'+ str(item.end) +'\t'+ str(item.value) + '\n')
f.close()
SeparateByChrom.cleanup(chroms, summary_graph_extension);
SeparateByChrom.cleanup(chroms, island_extension);
def main(argv):
"""
Note the window_size and the fragment_size are both input as strings, as they are used in
a shell script in makeGraphFile.
"""
parser = OptionParser()
parser.add_option("-s", "--species", action="store", type="string",
dest="species", help="mm8,hg18,dm2,etc", metavar="<str>")
parser.add_option("-b", "--bed_file", action="store", type="string",
dest="bedfile", help="bed file to make graph file of",
metavar="<file>")
parser.add_option("-w", "--window_size", action="store", type="int",
dest="window_size", help="window size", metavar="<int>")
parser.add_option("-i", "--fragment_size", action="store", type="int",
dest="fragment_size",
help="size of fragments after CHIP experiment",
metavar="<int>")
parser.add_option("-o", "--outfile", action="store", type="string",
dest="outfile", help="output bed summary file name",
metavar="<file>")
(opt, args) = parser.parse_args(argv)
if len(argv) < 10:
parser.print_help()
sys.exit(1)
if opt.species in GenomeData.species_chroms.keys():
chroms = GenomeData.species_chroms[opt.species];
chrom_lengths = GenomeData.species_chrom_lengths[opt.species];
SeparateByChrom.separateByChrom(chroms, opt.bedfile, ".bed");
makeGraphFile(chroms, chrom_lengths, opt.window_size, opt.fragment_size);
final_output_file = opt.outfile;
final_output_file = SeparateByChrom.combineAllGraphFiles(chroms, ".graph", final_output_file);
SeparateByChrom.cleanup(chroms, ".bed");
SeparateByChrom.cleanup(chroms, ".graph");
else:
print opt.species + " is not in the species list ";
def main(argv):
parser = OptionParser()
parser.add_option("-s",
"--species",
action="store",
type="string",
dest="species",
help="species, mm8, hg18, etc",
metavar="<str>")
parser.add_option("-a",
"--rawreadfileA",
action="store",
type="string",
dest="readfileA",
metavar="<file>",
help="raw read file A in bed format")
parser.add_option("-b",
"--rawreadfileB",
action="store",
type="string",
dest="readfileB",
metavar="<file>",
help="raw read file B in bed format")
parser.add_option("-f",
"--fragment_size",
action="store",
type="int",
dest="fragment_size",
metavar="<int>",
help="average size of a fragment after A experiment")
parser.add_option("-d",
"--islandfile",
action="store",
type="string",
dest="islandfile",
metavar="<file>",
help="island file in BED format")
parser.add_option("-o",
"--outfile",
action="store",
type="string",
dest="out_file",
metavar="<file>",
help="island read count summary file")
(opt, args) = parser.parse_args(argv)
if len(argv) < 12:
parser.print_help()
sys.exit(1)
if opt.species in GenomeData.species_chroms.keys():
chroms = GenomeData.species_chroms[opt.species]
else:
print "This species is not recognized, exiting"
sys.exit(1)
if not Utility.fileExists(opt.readfileA):
print opt.readfileA, " not found"
sys.exit(1)
if not Utility.fileExists(opt.readfileB):
print opt.readfileB, " not found"
sys.exit(1)
A_library_size = get_total_tag_counts.get_total_tag_counts(opt.readfileA)
B_library_size = get_total_tag_counts.get_total_tag_counts(opt.readfileB)
print "Library size of ", opt.readfileA, ": ", A_library_size
print "Library size of ", opt.readfileB, ": ", B_library_size
totalA = 0
totalB = 0
islands = BED.BED(opt.species, opt.islandfile, "BED3", 0)
# separate by chrom the A library
SeparateByChrom.separateByChrom(chroms, opt.readfileA, '.bed1')
# separate by chrom the B library
SeparateByChrom.separateByChrom(chroms, opt.readfileB, '.bed2')
island_A_readcount = {}
island_B_readcount = {}
#Find read counts on the islands
for chrom in chroms:
if chrom in islands.keys():
if len(islands[chrom]) != 0:
island_list = islands[chrom]
if Utility.is_bed_sorted(island_list) == 0:
island_list.sort(key=operator.attrgetter('start'))
island_start_list = []
island_end_list = []
for item in island_list:
island_start_list.append(item.start)
island_end_list.append(item.end)
island_A_readcount_list = [0] * len(island_list)
read_file = chrom + ".bed1"
f = open(read_file, 'r')
for line in f:
if not re.match("#", line):
line = line.strip()
sline = line.split()
position = associate_tags_with_regions.tag_position(
sline, opt.fragment_size)
index = associate_tags_with_regions.find_readcount_on_islands(
island_start_list, island_end_list, position)
if index >= 0:
island_A_readcount_list[index] += 1
totalA += 1
f.close()
island_A_readcount[chrom] = island_A_readcount_list
island_B_readcount_list = [0] * len(island_list)
read_file = chrom + ".bed2"
f = open(read_file, 'r')
for line in f:
if not re.match("#", line):
line = line.strip()
sline = line.split()
position = associate_tags_with_regions.tag_position(
sline, opt.fragment_size)
index = associate_tags_with_regions.find_readcount_on_islands(
island_start_list, island_end_list, position)
if index >= 0:
island_B_readcount_list[index] += 1
totalB += 1
f.close()
island_B_readcount[chrom] = island_B_readcount_list
#A_background_read = A_library_size - totalA;
#B_background_read = B_library_size - totalB;
print "Total number of A reads on islands is: ", totalA
print "Total number of B reads on islands is: ", totalB
# Calculate the p value.
library_scaling_factor = A_library_size * 1.0 / B_library_size
#A vs B
pseudo_count = 1
pvalue_A_vs_B_list = []
pvalue_B_vs_A_list = []
for chrom in chroms:
if chrom in islands.keys():
if len(islands[chrom]) != 0:
island_list = islands[chrom]
for index in xrange(len(island_list)):
item = island_list[index]
Acount = (island_A_readcount[chrom])[index]
Bcount = (island_B_readcount[chrom])[index]
pvalue_A_vs_B = pvaule(Acount, Bcount,
library_scaling_factor,
pseudo_count)
pvalue_A_vs_B_list.append(pvalue_A_vs_B)
pvalue_B_vs_A = pvaule(Bcount, Acount,
1 / library_scaling_factor,
pseudo_count)
pvalue_B_vs_A_list.append(pvalue_B_vs_A)
#Calculate the FDR
fdr_A_vs_B_list = fdr(pvalue_A_vs_B_list)
fdr_B_vs_A_list = fdr(pvalue_B_vs_A_list)
#Output the islands read counts, normalized read counts, fc, pvalue both ways
scaling_factor = 1000000
out = open(opt.out_file, 'w')
outline = '#chrom' + "\t" + 'start' + "\t" + 'end' + "\t" + "Readcount_A" + "\t" + 'Normalized_Readcount_A' + "\t" + 'ReadcountB' + "\t" + 'Normalized_Readcount_B' + "\t" + "Fc_A_vs_B" + "\t" + "pvalue_A_vs_B" + "\t" + "FDR_A_vs_B" + "\t" + "Fc_B_vs_A" + "\t" + "pvalue_B_vs_A" + "\t" + "FDR_B_vs_A" + "\n"
out.write(outline)
ii = 0
for chrom in chroms:
if chrom in islands.keys():
if len(islands[chrom]) != 0:
island_list = islands[chrom]
for index in xrange(len(island_list)):
item = island_list[index]
Acount = (island_A_readcount[chrom])[index]
Bcount = (island_B_readcount[chrom])[index]
normalized_A = Acount / float(
A_library_size) * scaling_factor
normalized_B = Bcount / float(
B_library_size) * scaling_factor
fc_A_vs_B = (
(Acount + pseudo_count) * 1.0 /
(Bcount + pseudo_count)) / library_scaling_factor
fc_B_vs_A = (
(Bcount + pseudo_count) * 1.0 /
(Acount + pseudo_count)) * library_scaling_factor
print("Acount", Acount, "Bcount", Bcount, "pseudo_count",
pseudo_count, "library_scaling_factor",
library_scaling_factor, "fc_A_vs_B", fc_A_vs_B,
"fc_B_vs_A", fc_B_vs_A)
outline = item.chrom + "\t" + str(item.start) + "\t" + str(
item.end) + "\t" + str(Acount) + "\t" + str(
normalized_A) + "\t" + str(Bcount) + "\t" + str(
normalized_B
) + "\t" + str(fc_A_vs_B) + "\t" + str(
pvalue_A_vs_B_list[ii]) + "\t" + str(
fdr_A_vs_B_list[ii]
) + "\t" + str(fc_B_vs_A) + "\t" + str(
pvalue_B_vs_A_list[ii]) + "\t" + str(
fdr_B_vs_A_list[ii]) + "\n"
out.write(outline)
ii += 1
out.close()
SeparateByChrom.cleanup(chroms, '.bed1')
SeparateByChrom.cleanup(chroms, '.bed2')
# Calculate the correlations using normalized read counts
A_array = ()
B_array = ()
for chrom in chroms:
if chrom in islands.keys():
if len(islands[chrom]) != 0:
temp_array = scipy.array(island_A_readcount[chrom])
A_array = scipy.concatenate((temp_array, A_array))
temp_array = scipy.array(island_B_readcount[chrom])
B_array = scipy.concatenate((temp_array, B_array))
#Normalization to reads per million
A_array = A_array / float(A_library_size) * scaling_factor
B_array = B_array / float(B_library_size) * scaling_factor
pearson = scipy.stats.pearsonr(A_array, B_array)
print "Pearson's correlation is: ", pearson[0], " with p-value ", pearson[
1]
spearman = scipy.stats.spearmanr(A_array, B_array)
print "Spearman's correlation is: ", spearman[
0], " with p-value ", spearman[1]
def main(argv):
parser = OptionParser()
parser.add_option("-a",
"--islandfile1",
action="store",
type="string",
dest="islandfile1",
metavar="<file>",
help="file 1 with islands info to be compared")
parser.add_option("-b",
"--islandfile2",
action="store",
type="string",
dest="islandfile2",
metavar="<file>",
help="file 2 with islands info to be compared")
parser.add_option("-s",
"--species",
action="store",
type="string",
dest="species",
help="species, mm8 or hg18",
metavar="<str>")
parser.add_option(
"-p",
"--overlapin1",
action="store",
type="string",
dest="overlapin1",
metavar="<file>",
help="file for islands in 1 overlapping with islands in 2")
parser.add_option(
"-q",
"--nonoverlapin1",
action="store",
type="string",
dest="nonoverlapin1",
help="file for islands in 1 not overlapping with islands in 2 ",
metavar="<file>")
(opt, args) = parser.parse_args(argv)
if len(argv) < 10:
parser.print_help()
sys.exit(1)
if opt.species in species_chroms.keys():
chroms = species_chroms[opt.species]
else:
print "This species is not recognized, exiting"
sys.exit(1)
total_overlap_number_1 = 0
total_islands_1 = 0
SeparateByChrom.separateByChrom(chroms, opt.islandfile1, '.island1')
SeparateByChrom.separateByChrom(chroms, opt.islandfile2, '.island2')
for chrom in chroms:
f = open(chrom + '.1in2', 'w')
g = open(chrom + '.1notin2', 'w')
bed_vals_1 = BED.BED(opt.species, chrom + '.island1', "BED_GRAPH", 0)
bed_vals_2 = BED.BED(opt.species, chrom + '.island2', "BED_GRAPH", 0)
if len(bed_vals_1[chrom]) > 0 and len(bed_vals_2[chrom]) > 0:
islandlist1 = bed_vals_1[chrom]
islandlist2 = bed_vals_2[chrom]
total_islands_1 += len(bed_vals_1[chrom])
for islandlist1_item in islandlist1:
start = islandlist1_item.start
end = islandlist1_item.end
if (region_overlap(start, end, islandlist2) == 1):
write(islandlist1_item, f)
total_overlap_number_1 += 1
else:
write(islandlist1_item, g)
elif (len(bed_vals_1[chrom]) > 0) and (len(bed_vals_2[chrom]) == 0):
total_islands_1 += len(bed_vals_1[chrom])
for islandlist1_item in bed_vals_1[chrom]:
write(islandlist1_item, g)
f.close()
g.close()
print "total number of island in " + opt.islandfile1 + ": ", total_islands_1
print "total number of island in " + opt.overlapin1 + ": ", total_overlap_number_1
SeparateByChrom.combineAllGraphFiles(chroms, '.1in2', opt.overlapin1)
SeparateByChrom.combineAllGraphFiles(chroms, '.1notin2', opt.nonoverlapin1)
SeparateByChrom.cleanup(chroms, '.1in2')
SeparateByChrom.cleanup(chroms, '.1notin2')
SeparateByChrom.cleanup(chroms, '.island1')
SeparateByChrom.cleanup(chroms, '.island2')
def main(argv):
parser = OptionParser()
parser.add_option("-k",
"--known_genes_file",
action="store",
type="string",
dest="known_file",
help="file with known genes",
metavar="<file>")
parser.add_option("-b",
"--bedfile",
action="store",
type="string",
dest="bedfile",
help="file with tags in bed format",
metavar="<file>")
parser.add_option("-c",
"--TypeOfSites",
action="store",
type="string",
dest="type",
help="TSS, TES, TFBS",
metavar="<str>")
parser.add_option("-o",
"--outfile",
action="store",
type="string",
dest="outfile",
help="outfile name",
metavar="<file>")
parser.add_option(
"-n",
"--normalization",
action="store",
type="float",
dest="norm",
help=
"additional normalization in addition to number of reads per million and window_size per 1K"
)
parser.add_option("-s",
"--species",
action="store",
type="string",
dest="species",
help="species",
metavar="<str>")
parser.add_option("-u",
"--UpstreamExtension",
action="store",
type="int",
dest="upstreamExtension",
help="UpstreamExtension",
metavar="<int>")
parser.add_option("-d",
"--DownstreamExtension",
action="store",
type="int",
dest="downstreamExtension",
help="DownstreamExtension",
metavar="<int>")
parser.add_option("-r",
"--resolution",
action="store",
type="int",
dest="resolution",
help="resolution of the profile, eg, 5",
metavar="<int>")
parser.add_option(
"-w",
"--WindowSize",
action="store",
type="int",
dest="window_size",
help=
"window size for averaging. When window size > resolution, there is smoothing",
metavar="<int>")
parser.add_option("-p",
"--plusReadShift",
action="store",
type="int",
dest="pshift",
help="plusReadShift",
metavar="<int>")
parser.add_option("-m",
"--minusReadShift",
action="store",
type="int",
dest="mshift",
help="minusReadShift",
metavar="<int>")
(opt, args) = parser.parse_args(argv)
if len(argv) < 24:
parser.print_help()
sys.exit(1)
if opt.species in GenomeData.species_chroms.keys():
chroms = GenomeData.species_chroms[opt.species]
else:
print "This species is not recognized, exiting"
sys.exit(1)
#t0 = time.time()
libName = (opt.bedfile).split('/')[-1]
libName = libName.split('.')[0]
extension = "-" + libName + '.bed1'
SeparateByChrom.separateByChrom(chroms, opt.bedfile, extension)
num_genes = 0
num_tags = 0
numPoints = float(opt.upstreamExtension + opt.downstreamExtension) / float(
opt.resolution)
print "Upstream extension: ", opt.upstreamExtension
print "Downstream extension: ", opt.downstreamExtension
print "Resolution:", opt.resolution
print "Scanning window size: ", opt.window_size
print "Number of Points", numPoints
all_genes_scores = {} #{name:[]}
if (opt.type == "TSS"):
coords = UCSC.KnownGenes(opt.known_file)
for chrom in chroms:
chrombed = chrom + extension
if Utility.fileExists(chrombed):
scoredic = {}
mycoords = {}
bed_vals = {}
bed_vals = BED.BED(opt.species, chrombed, "BED2")
num_tags += bed_vals.getNumVals()
if (chrom in coords.keys()) and (len(coords[chrom]) > 0):
num_genes += len(coords[chrom])
mycoords[chrom] = coords[chrom]
scoredic = getTSSPMProfileMatrix(
mycoords, opt.upstreamExtension,
opt.downstreamExtension, opt.resolution,
opt.window_size, opt.pshift, opt.mshift, bed_vals)
all_genes_scores.update(scoredic)
#print annotations
#print scoreMatrix
#print score_profiles
elif (opt.type == "TES"):
coords = UCSC.KnownGenes(opt.known_file)
for chrom in chroms:
chrombed = chrom + extension
if Utility.fileExists(chrombed):
scoredic = {}
mycoords = {}
bed_vals = {}
bed_vals = BED.BED(opt.species, chrombed, "BED2")
num_tags += bed_vals.getNumVals()
if (chrom in coords.keys()) and (len(coords[chrom]) > 0):
num_genes += len(coords[chrom])
mycoords[chrom] = coords[chrom]
scoredic = getTESPMProfileMatrix(
mycoords, opt.upstreamExtension,
opt.downstreamExtension, opt.resolution,
opt.window_size, opt.pshift, opt.mshift, bed_vals)
all_genes_scores.update(scoredic)
elif (opt.type == "TFBS"):
# Build coords
# Here we are assuming that the file has the format chrom location + .....for each line
# chrom is sline[0], location is sline[1]
coords = {}
if (opt.known_file):
infile = open(opt.known_file, 'r')
for line in infile:
""" check to make sure not a header line """
if not re.match("track", line):
line = line.strip()
sline = line.split()
if sline[0] not in coords.keys():
coords[sline[0]] = []
coords[sline[0]].append(atoi(sline[1]))
infile.close()
for chrom in chroms:
chrombed = chrom + extension
if Utility.fileExists(chrombed):
scoredic = {}
mycoords = {}
bed_vals = {}
bed_vals = BED.BED(opt.species, chrombed, "BED2")
num_tags += bed_vals.getNumVals()
if chrom in coords.keys() and len(coords[chrom]) > 0:
num_genes += len(coords[chrom])
mycoords[chrom] = coords[chrom]
scoredic = getTFBSPMProfileMatrix(
mycoords, opt.upstreamExtension,
opt.downstreamExtension, opt.resolution,
opt.window_size, opt.pshift, opt.mshift, bed_vals)
all_genes_scores.update(scoredic)
else:
print "Only three types of locations are allowed: TSS, TES, TFBS"
sys.exit(1)
SeparateByChrom.cleanup(chroms, extension)
normalization = num_tags / 1000000.0
normalization *= opt.window_size / 1000.0
normalization *= opt.norm
outFile = open(opt.outfile, 'w')
# export the normalized result to a file.
for mykey in all_genes_scores.keys():
outline = str(mykey) + "\t" + "\t".join(
[str(item / normalization)
for item in all_genes_scores[mykey]]) + '\n'
outFile.write(outline)
outFile.close()
print "Number of locations: ", num_genes
print "Number of reads: ", num_tags
print "normalization = ", normalization
# Testing
overall_profile = [0] * int(numPoints)
for mykey in all_genes_scores.keys():
assert (len(all_genes_scores[mykey]) == int(numPoints))
for j in xrange(int(numPoints)):
overall_profile[j] += (all_genes_scores[mykey])[j] / normalization
overall_profile = [item / float(num_genes) for item in overall_profile]
#for item in overall_profile:
# print item;
pylab.clf()
pylab.plot(overall_profile, "b")
pylab.savefig("Overall_profile.png", format='png')
def main(argv):
parser = OptionParser()
parser.add_option("-s", "--species", action="store", type="string", dest="species", help="species, mm8, hg18, etc", metavar="<str>")
parser.add_option("-a", "--rawreadfileA", action="store", type="string", dest="readfileA", metavar="<file>", help="raw read file A in bed format")
parser.add_option("-b", "--rawreadfileB", action="store", type="string", dest="readfileB", metavar="<file>", help="raw read file B in bed format")
parser.add_option("-f", "--fragment_size", action="store", type="int", dest="fragment_size", metavar="<int>", help="average size of a fragment after A experiment")
parser.add_option("-d", "--islandfile", action="store", type="string", dest="islandfile", metavar="<file>", help="island file in BED format")
parser.add_option("-o", "--outfile", action="store", type="string", dest="out_file", metavar="<file>", help="island read count summary file")
(opt, args) = parser.parse_args(argv)
if len(argv) < 12:
parser.print_help()
sys.exit(1)
if opt.species in GenomeData.species_chroms.keys():
chroms = GenomeData.species_chroms[opt.species];
else:
print "This species is not recognized, exiting";
sys.exit(1);
if not Utility.fileExists(opt.readfileA):
print opt.readfileA, " not found";
sys.exit(1)
if not Utility.fileExists(opt.readfileB):
print opt.readfileB, " not found";
sys.exit(1)
A_library_size = get_total_tag_counts.get_total_tag_counts(opt.readfileA);
B_library_size = get_total_tag_counts.get_total_tag_counts(opt.readfileB);
print "Library size of ", opt.readfileA, ": ", A_library_size
print "Library size of ", opt.readfileB, ": ", B_library_size
totalA = 0;
totalB = 0;
islands = BED.BED(opt.species, opt.islandfile, "BED3", 0);
# separate by chrom the A library
SeparateByChrom.separateByChrom(chroms, opt.readfileA, '.bed1');
# separate by chrom the B library
SeparateByChrom.separateByChrom(chroms, opt.readfileB, '.bed2');
island_A_readcount = {};
island_B_readcount = {};
#Find read counts on the islands
for chrom in chroms:
if chrom in islands.keys():
if len(islands[chrom]) != 0:
island_list = islands[chrom];
if Utility.is_bed_sorted(island_list) == 0:
island_list.sort(key=operator.attrgetter('start'));
island_start_list = []
island_end_list = []
for item in island_list:
island_start_list.append(item.start)
island_end_list.append(item.end)
island_A_readcount_list=[0]*len(island_list);
read_file = chrom + ".bed1";
f = open(read_file,'r')
for line in f:
if not re.match("#", line):
line = line.strip()
sline = line.split()
position = associate_tags_with_regions.tag_position(sline, opt.fragment_size)
index =associate_tags_with_regions.find_readcount_on_islands(island_start_list, island_end_list, position);
if index >= 0:
island_A_readcount_list[index] += 1;
totalA += 1;
f.close();
island_A_readcount[chrom] = island_A_readcount_list;
island_B_readcount_list=[0]*len(island_list);
read_file = chrom + ".bed2";
f = open(read_file,'r')
for line in f:
if not re.match("#", line):
line = line.strip()
sline = line.split()
position = associate_tags_with_regions.tag_position(sline, opt.fragment_size)
index = associate_tags_with_regions.find_readcount_on_islands(island_start_list, island_end_list, position);
if index >= 0:
island_B_readcount_list[index] += 1;
totalB += 1;
f.close();
island_B_readcount[chrom] = island_B_readcount_list;
#A_background_read = A_library_size - totalA;
#B_background_read = B_library_size - totalB;
print "Total number of A reads on islands is: ", totalA;
print "Total number of B reads on islands is: ", totalB;
# Calculate the p value.
library_scaling_factor = A_library_size*1.0/B_library_size; #A vs B
pseudo_count = 1;
pvalue_A_vs_B_list = [];
pvalue_B_vs_A_list = [];
for chrom in chroms:
if chrom in islands.keys():
if len(islands[chrom]) != 0:
island_list = islands[chrom];
for index in xrange(len(island_list)):
item = island_list[index];
Acount = (island_A_readcount[chrom])[index];
Bcount = (island_B_readcount[chrom])[index];
pvalue_A_vs_B = pvaule (Acount, Bcount, library_scaling_factor, pseudo_count);
pvalue_A_vs_B_list.append(pvalue_A_vs_B);
pvalue_B_vs_A = pvaule (Bcount, Acount, 1/library_scaling_factor, pseudo_count);
pvalue_B_vs_A_list.append(pvalue_B_vs_A);
#Calculate the FDR
fdr_A_vs_B_list = fdr(pvalue_A_vs_B_list);
fdr_B_vs_A_list = fdr(pvalue_B_vs_A_list);
#Output the islands read counts, normalized read counts, fc, pvalue both ways
scaling_factor = 1000000;
out = open(opt.out_file, 'w');
outline = '#chrom' + "\t" + 'start' + "\t" + 'end' + "\t" + "Readcount_A" + "\t" + 'Normalized_Readcount_A' + "\t" + 'ReadcountB' + "\t" + 'Normalized_Readcount_B' + "\t" + "Fc_A_vs_B" + "\t" + "pvalue_A_vs_B" + "\t" + "FDR_A_vs_B" + "\t" + "Fc_B_vs_A" + "\t" + "pvalue_B_vs_A" + "\t" + "FDR_B_vs_A" + "\n";
out.write(outline);
ii=0;
for chrom in chroms:
if chrom in islands.keys():
if len(islands[chrom]) != 0:
island_list = islands[chrom];
for index in xrange(len(island_list)):
item = island_list[index];
Acount = (island_A_readcount[chrom])[index];
Bcount = (island_B_readcount[chrom])[index];
normalized_A = Acount/ float(A_library_size) * scaling_factor;
normalized_B = Bcount/ float(B_library_size) * scaling_factor;
fc_A_vs_B = ((Acount + pseudo_count)*1.0/(Bcount + pseudo_count))/library_scaling_factor;
fc_B_vs_A = ((Bcount + pseudo_count)*1.0/(Acount + pseudo_count)) * library_scaling_factor;
outline = item.chrom + "\t" + str(item.start) + "\t" + str(item.end) + "\t" + str(Acount) + "\t" + str(normalized_A) + "\t" + str(Bcount) + "\t" + str(normalized_B) + "\t" + str(fc_A_vs_B) + "\t" + str(pvalue_A_vs_B_list[ii]) + "\t" + str(fdr_A_vs_B_list[ii]) + "\t" + str(fc_B_vs_A) + "\t" + str(pvalue_B_vs_A_list[ii]) + "\t" + str(fdr_B_vs_A_list[ii]) + "\n";
out.write(outline);
ii += 1;
out.close();
SeparateByChrom.cleanup(chroms, '.bed1');
SeparateByChrom.cleanup(chroms, '.bed2');
# Calculate the correlations using normalized read counts
A_array=();
B_array=();
for chrom in chroms:
if chrom in islands.keys():
if len(islands[chrom]) != 0:
temp_array= scipy.array(island_A_readcount[chrom]);
A_array=scipy.concatenate((temp_array, A_array));
temp_array= scipy.array(island_B_readcount[chrom]);
B_array=scipy.concatenate((temp_array, B_array));
#Normalization to reads per million
A_array = A_array/float(A_library_size) * scaling_factor;
B_array = B_array/float(B_library_size) * scaling_factor;
pearson=scipy.stats.pearsonr(A_array, B_array);
print "Pearson's correlation is: ", pearson[0], " with p-value ", pearson[1];
spearman = scipy.stats.spearmanr(A_array, B_array);
print "Spearman's correlation is: ", spearman[0], " with p-value ", spearman[1];
def main(argv):
parser = OptionParser()
parser.add_option("-b",
"--bedfile",
action="store",
type="string",
dest="bedFile",
metavar="<file>",
help="ChIP seq read file")
parser.add_option(
"-f",
"--fragment_size",
action="store",
type="int",
dest="fragment_size",
help=
"fragment_size determins the shift (half of fragment_size of ChIP-seq read position, in bps",
metavar="<int>")
parser.add_option("-g",
"--known_genes_file",
action="store",
type="string",
dest="known_genes",
metavar="<file>",
help="file with known genes in UCSC format")
parser.add_option(
"-r",
"--'Promoter' or 'GeneBody' or 'PromoterGenebody' or 'ExonicRegion'",
action="store",
type="string",
dest="region_type",
metavar="<str>",
help="region to count tags in")
parser.add_option("-u",
"--promoter_upstream_extension",
action="store",
type="int",
dest="promoter_upstream_extension",
help="upstream extension of promoter region from TSS",
metavar="<int>")
parser.add_option("-d",
"--promoter_downstream_extension",
action="store",
type="int",
dest="promoter_downstream_extension",
help="downstream extension of promoter region from TSS",
metavar="<int>")
parser.add_option("-o",
"--outfile",
action="store",
type="string",
dest="out_file",
metavar="<file>",
help="output file name for genes and tag numbers")
(opt, args) = parser.parse_args(argv)
if len(argv) < 14:
parser.print_help()
sys.exit(1)
startTime = time.time()
known_genes = UCSC_revised.KnownGenes(opt.known_genes)
chroms = known_genes.keys()
#Promoter and GeneBody are mutually exclusive.
#Promoter: TSS-upstreamextention, TSS+downstreamextension
#GeneBody: TSS+downstreamextension, TES
#PromoterGenebody: TSS-upstreamextention, TES.
allowed_region_type = [
'Promoter', 'GeneBody', 'PromoterGenebody', 'ExonicRegion'
]
if opt.region_type not in allowed_region_type:
print " The allowed region types are Promoter, GeneBody, PromoterGenebody and ExonicRegion. The region type is not recognized, exiting"
sys.exit(1)
if opt.region_type == 'Promoter':
region_dic = known_genes.getPromoters(
opt.promoter_upstream_extension, opt.promoter_downstream_extension)
elif opt.region_type == 'GeneBody':
region_dic = known_genes.getGenebodys(
opt.promoter_downstream_extension)
elif opt.region_type == 'PromoterGenebody':
region_dic = known_genes.getPromotergenebodys(
opt.promoter_upstream_extension)
libName = (opt.bedFile).split('/')[-1]
libName = libName.split('.')[0]
extension = "-" + libName + '.bed1'
if Utility_extended.fileExists(opt.bedFile):
SeparateByChrom.separateByChrom(chroms, opt.bedFile, extension)
else:
print opt.bedFile, " not found"
sys.exit(1)
totalcount = get_total_tag_counts.get_total_tag_counts(opt.bedFile)
f = open(opt.out_file, 'w')
outline = "# GeneName" + '\t' + "Read Count" + '\t' + "RPKM" + '\n'
f.write(outline)
for chrom in chroms:
chrombed = chrom + extension
if Utility_extended.fileExists(chrombed):
gene_coords = known_genes[chrom]
if len(gene_coords) > 0:
if opt.region_type == 'ExonicRegion':
(gene_name_list, region_length_list,
read_count_list) = get_read_count_on_exons(
gene_coords, chrombed, opt.fragment_size)
else:
(gene_name_list, region_length_list,
read_count_list) = get_read_count_on_genic_regions(
region_dic[chrom], chrombed, opt.fragment_size)
#test_get_read_count_on_genic_regions("AAAS", gene_name_list, region_length_list, read_count_list)
#test_get_read_count_on_genic_regions("AACS", gene_name_list, region_length_list, read_count_list)
assert len(gene_name_list) == len(region_length_list)
assert len(gene_name_list) == len(read_count_list)
RPKM = [0] * len(gene_name_list)
for i in xrange(len(gene_name_list)):
if region_length_list[i] > 0:
RPKM[i] = read_count_list[i] / (region_length_list[i] /
1000.0) / (totalcount /
1000000.0)
outline = gene_name_list[i] + '\t' + str(
read_count_list[i]) + '\t' + str(RPKM[i]) + '\n'
f.write(outline)
f.close()
SeparateByChrom.cleanup(chroms, extension)
print "it took", time.time() - startTime, "seconds."
def main(argv):
parser = OptionParser()
parser.add_option("-b", "--readfile", action="store", type="string", dest="readFile", metavar="<file>", help="raw read file in bed format")
parser.add_option("-s", "--species", action="store", type="string", dest="species", help="species, mm8, hg18", metavar="<str>")
parser.add_option("-i", "--islands", action="store", type="string", dest="islandFile", metavar="<file>", help="island File in chrom start end ... format")
parser.add_option("-w", "--binSize", action="store", type="int", dest="binSize", metavar="<int>", help="bin size for resolution")
parser.add_option("-m", "--minimum-number-of-points-per-island", action="store", type="int", dest="minimumRequiredPoints", metavar="<int>", help="minimum-number-of-data-points-needed-per-island")
parser.add_option("-n", "--maxdistance", action="store", type="int", dest="maxDistance", metavar="<int>", help=" max distance for correlation, in terms of bin size")
parser.add_option("-r", "--resolution", action="store", type="int", dest="resolution", metavar="<int>", help=" resolution in distance in terms of bin size")
parser.add_option("-t", "--type", action="store", type="string", dest="type", metavar="<str>", help=" type of correlation, +auto, -auto, cross")
parser.add_option("-f", "--shift", action="store", type="int", dest="shift", metavar="<int>", help=" shift of reads, only useful when calculate cross-correlation or combining the plus and minus reads")
parser.add_option("-o", "--outfile", action="store", type="string", dest="out_file", metavar="<file>", help="output file")
(opt, args) = parser.parse_args(argv)
if len(argv) < 20:
parser.print_help()
sys.exit(1)
if opt.species in GenomeData.species_chroms.keys():
chroms = GenomeData.species_chroms[opt.species];
chrom_lengths = GenomeData.species_chrom_lengths[opt.species];
else:
print "This species is not recognized, exiting";
sys.exit(1);
#t0 = time.time()
if Utility.fileExists(opt.readFile) == 0:
print opt.readFile, " does not exist"
exit(1)
libName = (opt.readFile).split('/')[-1]
libName = libName.split('.')[0]
extension = "-" + libName +'.bed1'
SeparateByChrom.separateByChrom(chroms, opt.readFile, extension)
print "Species: ", opt.species
print "Read File: ", opt.readFile
print "Island File: ", opt.islandFile
print "Bin Size: ", opt.binSize, "bp"
print "Resolution: ", opt.resolution, " bins"
print "Max distance: ", opt.maxDistance, " bins"
assert (opt.type == "+auto" or opt.type == "-auto" or opt.type == "cross")
print "Type of correlation: ", opt.type
print "Reads shift: ", opt.shift
# Here we are assuming that the file has the format chrom start end + .....for each line
# chrom is sline[0], start is sline[1], end is sline[2]
if Utility.fileExists(opt.islandFile):
islandDic = BED_revised.BED(opt.species, opt.islandFile, "BED3")
num_islands = 0
for chrom in islandDic.keys():
num_islands += len(islandDic[chrom]);
# Clean up potential island-specific read files
filter_raw_tags_by_islands_dev.cleanup_files(islandDic[chrom], extension)
total = (int) (opt.maxDistance/opt.resolution) + 1
distances = [0] * total
numberOfPointsCollector = [0] * total
correlationCollector = [0] * total
totalReadCount = 0
for chrom in chroms:
chrombed = chrom + extension;
if Utility.fileExists(chrombed):
if (chrom in islandDic.keys()):
if (len(islandDic[chrom]) > 0):
# First find out all the reads that lands on islands and save them on island-specific temporary files.Then use only the read file specific to that island to do binning.
currentReadCount = filter_raw_tags_by_islands_dev.find_reads_on_each_island(chrombed, islandDic[chrom], opt.shift, extension)
totalReadCount += currentReadCount
for island in islandDic[chrom]:
assert (island.start >= 0)
assert (island.end <= chrom_lengths[chrom])
islandReadFile = island.chrom + "-" + str(island.start) + "-" + str(island.end) + extension
numberOfPoints = [0] * total
correlations = [0] * total
if opt.type == "+auto":
readCountVector = generateReadCountVector(island.chrom, island.start, island.end, opt.binSize, "+", opt.shift, islandReadFile)
(numberOfPoints, correlations) = autoCorrelations(readCountVector, opt.resolution, opt.maxDistance, opt.minimumRequiredPoints)
elif opt.type == "-auto":
readCountVector = generateReadCountVector(island.chrom, island.start, island.end, opt.binSize, "-", opt.shift, islandReadFile)
(numberOfPoints, correlations) = autoCorrelations(readCountVector,opt.resolution, opt.maxDistance, opt.minimumRequiredPoints)
elif opt.type == "cross":
plusReadCountVector = generateReadCountVector(island.chrom, island.start, island.end, opt.binSize, "+", opt.shift, islandReadFile)
minusReadCountVector = generateReadCountVector(island.chrom, island.start, island.end, opt.binSize, "-", opt.shift, islandReadFile)
(numberOfPoints, correlations) = crossCorrelations(plusReadCountVector, minusReadCountVector, opt.resolution, opt.maxDistance, opt.minimumRequiredPoints)
assert (len(numberOfPoints) == total)
assert (len(correlations) == total)
print chrom, island.start, island.end
for i in xrange(total):
if numberOfPoints[i] == 0:
distances[i] = i * opt.resolution * opt.binSize
print distances[i], "\t", numberOfPointsCollector[i], "\t", correlationCollector[i]
numberOfPointsCollector[i] += numberOfPoints[i]
correlationCollector[i] += correlations[i]
# Normalization and output
f = open(opt.out_file, 'w')
for i in xrange(total):
distances[i] = i * opt.resolution * opt.binSize
correlationCollector[i] /= numberOfPointsCollector[i] #normalize by the number of points
correlationCollector[i] /= (totalReadCount/1000000.0)*(totalReadCount/1000000.0)
print distances[i], "\t", numberOfPointsCollector[i], "\t", correlationCollector[i]
outline = str(distances[i]) + "\t" + str(correlationCollector[i]) + "\n"
f.write(outline)
f.close()
SeparateByChrom.cleanup(chroms, extension)
#Plot it out
title = libName + " " + opt.type + " correlation"
legend = "B" + str(opt.binSize) + " S" + str(opt.shift)
plot_profile(distances[1:], correlationCollector[1:], 0, title, legend, opt.out_file + '.eps')
def main(argv):
parser = OptionParser()
parser.add_option("-k",
"--known_gene_file",
action="store",
type="string",
dest="genefile",
help="file with known gene info",
metavar="<file>")
parser.add_option("-b",
"--bedfile",
action="store",
type="string",
dest="bedfile",
help="file with tags in bed format",
metavar="<file>")
parser.add_option("-c",
"--TypeOfSites",
action="store",
type="string",
dest="type",
help="GENE, ISLAND",
metavar="<str>")
parser.add_option("-o",
"--outfile",
action="store",
type="string",
dest="outfile",
help="outfile name",
metavar="<file>")
parser.add_option("-s",
"--species",
action="store",
type="string",
dest="species",
help="species",
metavar="<str>")
parser.add_option("-u",
"--UpstreamExtension",
action="store",
type="int",
dest="upstreamExtension",
help="UpstreamExtension",
metavar="<int>")
parser.add_option("-d",
"--DownstreamExtension",
action="store",
type="int",
dest="downstreamExtension",
help="DownstreamExtension",
metavar="<int>")
parser.add_option(
"-r",
"--resolution",
action="store",
type="int",
dest="resolution",
help="resolution of the upstream and downstream profile, eg, 5",
metavar="<int>")
parser.add_option(
"-w",
"--WindowSize",
action="store",
type="int",
dest="window_size",
help=
"window size for averaging for the upstream and downstream profile. When window size > resolution, there is smoothing",
metavar="<int>")
parser.add_option("-g",
"--genicPartition",
action="store",
type="int",
dest="genicPartition",
help="genicPartition, eg, 20",
metavar="<int>")
parser.add_option("-p",
"--plusReadShift",
action="store",
type="int",
dest="pshift",
help="plusReadShift",
metavar="<int>")
parser.add_option("-m",
"--minusReadShift",
action="store",
type="int",
dest="mshift",
help="minusReadShift",
metavar="<int>")
(opt, args) = parser.parse_args(argv)
if len(argv) < 24:
parser.print_help()
sys.exit(1)
if opt.species in GenomeData.species_chroms.keys():
chroms = GenomeData.species_chroms[opt.species]
chrom_lengths = GenomeData.species_chrom_lengths[opt.species]
else:
print "This species is not recognized, exiting"
sys.exit(1)
#t0 = time.time()
libName = (opt.bedfile).split('/')[-1]
libName = libName.split('.')[0]
extension = "-" + libName + '.bed1'
SeparateByChrom.separateByChrom(chroms, opt.bedfile, extension)
num_genes = 0
num_tags = 0
if (opt.upstreamExtension % opt.resolution != 0):
print "Please choose the resolution commensurate with the length of the upstream region"
sys.exit(1)
if (opt.downstreamExtension % opt.resolution != 0):
print "Please choose the resolution commensurate with the length of the downstream region"
sys.exit(1)
upstreamNumPoints = opt.upstreamExtension / opt.resolution
all_gene_scores = {}
print "Species: ", opt.species
print "Upstream extension: ", opt.upstreamExtension
print "Downstream extension: ", opt.downstreamExtension
print "Upstream and Downstream resolution:", opt.resolution
print "Upstream and Downstream Scanning window size: ", opt.window_size
print "Genic partition: ", opt.genicPartition
print "Plus reads shift: ", opt.pshift
print "Minus reads shift: ", opt.mshift
if opt.type == "GENE":
coords = UCSC.KnownGenes(opt.genefile)
elif opt.type == "ISLAND":
# Build coords in the mode of a pseudo ucsc file, all pseudo genes are in the positive direction
# Here we are assuming that the file has the format chrom start end + .....for each line
# chrom is sline[0], start is sline[1], end is sline[2]
strand = '+'
coords = {}
index = 0
infile = open(opt.genefile, 'r')
for line in infile:
""" check to make sure not a header line """
if not re.match("track", line):
index += 1
line = line.strip()
sline = line.split()
if sline[0] not in coords.keys():
coords[sline[0]] = []
name = "Island" + str(index)
chrom = sline[0]
txStart = atoi(sline[1])
txEnd = atoi(sline[2])
# (name, chrom, strand, txStart, txEnd, cdsStart, cdsEnd, exonCount, exonStarts, exonEnds)
mycoord = UCSC.UCSC(name, chrom, strand, txStart, txEnd,
txStart, txEnd, 0, '0', '0')
coords[chrom].append(mycoord)
infile.close()
else:
print "Only two types of locations are allowed: GENE, ISLAND"
sys.exit(1)
normalization = num_tags / 1000000.0
minimum_genic_resolution = 10
old_num_genes = getNumGenes(coords)
coords = findEligibleGenes(
coords, chroms, opt.genicPartition,
minimum_genic_resolution) # no longer a knowngene object
num_genes = getNumGenes(coords)
print num_genes - new_num_genes, " genes whose length does not support minimal genic resolution of ", minimum_genic_resolution, " or are on exotic chroms, are discarded"
print "Number of " + opt.type + ": ", num_genes
print "Number of reads: ", num_tags
for chrom in chroms:
chrombed = chrom + extension
if Utility.fileExists(chrombed):
bed_vals = {}
bed_vals = BED_revised.BED(opt.species, chrombed, "BED2")
num_tags += bed_vals.getNumVals()
if (chrom in coords.keys()):
if (len(coords[chrom]) > 0):
mycoords = {}
scoredic_upstream = {}
scoredic_downstream = {}
scoredic_genebody = {}
mycoords[chrom] = coords[chrom]
scoredic_upstream = GenerateProfileMatrixAroundLocations.getTSSPMProfileMatrix(
mycoords, opt.upstreamExtension, 0, opt.resolution,
opt.window_size, opt.pshift, opt.mshift, bed_vals)
scoredic_downstream = GenerateProfileMatrixAroundLocations.getTESPMProfileMatrix(
mycoords, 0, opt.downstreamExtension, opt.resolution,
opt.window_size, opt.pshift, opt.mshift, bed_vals)
scoredic_genebody = getGeneBodyProfileMatrix(
mycoords, opt.genicPartition, opt.pshift, opt.mshift,
bed_vals, minimum_genic_resolution)
myid_set = list(
set(scoredic_upstream.keys())
& set(scoredic_downstream.keys())
& set(scoredic_genebody.keys()))
chrom_gene_scores = {}
count_normalization = float(opt.window_size) / 1000.0
for myid in myid_set:
chrom_gene_scores[myid] = [
item / count_normalization
for item in scoredic_upstream[myid]
] + scoredic_genebody.keys[mykey] + [
item / count_normalization
for item in scoredic_downstream[mykey]
]
all_genes_scores.update(chrom_gene_scores)
# Save in a file
outFile = open(opt.outfile, 'w')
for mykey in xrange(len(all_genes_scores.keys())):
outline = mykey + "\t" + "\t".join(
[str(item / normalization)
for item in all_genes_scores[mykey]]) + '\n'
outFile.write(outline)
outFile.close()
#test
totalPoints = upstreamNumPoints + opt.genicPartition + downstreamNumPoints
half_partition = int(opt.resolution / 2.0)
upstreamXcoordinates = [0.0] * upstreamNumPoints
for i in xrange(upstreamNumPoints):
upstreamXcoordinates[
i] = -1.0 * opt.upstreamExtension + half_partition + i * opt.resolution
downstreamXcoordinates = [0.0] * downstreamNumPoints
for i in xrange(downstreamNumPoints):
downstreamXcoordinates[i] = half_partition + i * opt.resolution
genebodyXcoordinates = [0.0] * opt.genicPartition
for i in xrange(opt.genicPartition):
genebodyXcoordinates[i] = float((i + 1)) / opt.genicPartition
overallXcoordinates = upstreamXcoordinates + genebodyXcoordinates + downstreamXcoordinates
overall_score_profile = [0] * overallXcoordinates
for mykey in xrange(len(all_genes_scores.keys())):
assert (len(overallXcoordinates) == len(all_genes_scores[mykey]))
for i in xrange(overallXcoordinates):
overall_score_profile[i] += (all_genes_scores[mykey])[i]
#Plot it out
xcords = [0] * len(overallXcoordinates)
for i in xrange(len(xcords)):
xcords[i] = i
libName = (opt.bedfile).split('/')[-1]
libName = libName.split('.')[0]
annotationName = (opt.genefile).split('/')[-1]
annotationName = annotationName.split('.')[0]
title = libName + " on " + annotationName
legend = ""
GenerateAroundRegions.plot_profile(opt.upstreamExtension,
downstreamExtension, opt.resolution,
opt.genicPartition, xcords,
overall_score_profile, 0, title, legend,
opt.outfile + '_plot.eps')
SeparateByChrom.cleanup(chroms, extension)
def main(argv):
parser = OptionParser()
parser.add_option("-s",
"--species",
action="store",
type="string",
dest="species",
help="species, mm8, hg18",
metavar="<str>")
parser.add_option("-a",
"--summarygraphfile",
action="store",
type="string",
dest="bedfile",
metavar="<file>",
help="summary graph file")
parser.add_option("-b",
"--islandfile",
action="store",
type="string",
dest="islandbedfile",
metavar="<file>",
help="island file")
parser.add_option("-o",
"--outfile",
action="store",
type="string",
dest="out_file",
metavar="<file>",
help="filtered summary graph file")
parser.add_option("-w",
"--window_size",
action="store",
type="int",
dest="window_size",
help="window size of summary graph",
metavar="<int>")
(opt, args) = parser.parse_args(argv)
if len(argv) < 10:
parser.print_help()
sys.exit(1)
if opt.species in species_chroms.keys():
chroms = species_chroms[opt.species]
else:
print "This species is not recognized, exiting"
sys.exit(1)
summary_graph_extension = ".summarygraph"
island_extension = ".islands"
SeparateByChrom.separateByChrom(chroms, opt.bedfile,
summary_graph_extension)
SeparateByChrom.separateByChrom(chroms, opt.islandbedfile,
island_extension)
f = open(opt.out_file, 'w')
for chrom in chroms:
if Utility.fileExists(chrom +
summary_graph_extension) and Utility.fileExists(
chrom + island_extension):
summary = BED.BED(opt.species, chrom + summary_graph_extension,
"BED_GRAPH", 0)
islands = BED.BED(opt.species, chrom + island_extension,
"BED_GRAPH", 0)
result = filter_out_uncovered_windows(islands[chrom],
summary[chrom],
opt.window_size)
for item in result:
f.write(item.chrom + '\t' + str(item.start) + '\t' +
str(item.end) + '\t' + str(item.value) + '\n')
f.close()
SeparateByChrom.cleanup(chroms, summary_graph_extension)
SeparateByChrom.cleanup(chroms, island_extension)
def main(argv):
parser = OptionParser()
parser.add_option("-k", "--known_gene_file", action="store", type="string",
dest="genefile", help="file with known gene info", metavar="<file>")
parser.add_option("-b", "--bedfile", action="store", type="string",
dest="bedfile", help="file with tags in bed format", metavar="<file>")
parser.add_option("-n", "--name", action="store", type="string",
dest="name", help="name for plotting", metavar="<str>")
parser.add_option("-s", "--species", action="store", type="string",
dest="species", help="species", metavar="<str>")
parser.add_option("-c", "--number", action="store", type="int",
dest="exonnumber", help="number of exons", metavar="<int>")
parser.add_option("-f", "--fragmentsize", action="store", type="int",
dest="fragment_size", help="fragment size", metavar="<int>")
(opt, args) = parser.parse_args(argv)
if len(argv) < 12:
parser.print_help()
sys.exit(1)
if opt.species in GenomeData.species_chroms.keys():
chroms = GenomeData.species_chroms[opt.species];
chrom_length = GenomeData.species_chrom_lengths[opt.species];
else:
print "This species is not recognized, exiting";
sys.exit(1);
gene_coords = UCSC.KnownGenes(opt.genefile);
#separate by chrom
if Utility.fileExists(opt.bedfile):
SeparateByChrom.separateByChrom(chroms, opt.bedfile, '.bed1');
else:
print opt.beddfile, " not found";
sys.exit(1)
total_exon_sums = [0]*opt.exonnumber;
total_intron_sums = [0]*opt.exonnumber;
total_exon_sizes = [0]*opt.exonnumber;
total_intron_sizes = [0]*opt.exonnumber;
total_num_tags = 0;
for chrom in chroms:
read_file = chrom + ".bed1";
bed_vals = BED.BED(opt.species, read_file, "BED6", 0);
total_num_tags += bed_vals.getNumVals();
(exon_counts, intron_counts, exon_seq_sizes, intron_seq_sizes) = getExonIntronDensities(gene_coords, bed_vals, opt.exonnumber, opt.fragment_size);
for j in range(opt.exonnumber):
total_exon_sums[j] += exon_counts[j];
total_intron_sums[j] += intron_counts[j];
total_exon_sizes[j] += exon_seq_sizes[j];
total_intron_sizes[j] += intron_seq_sizes[j];
""" print everything out to a file """
outfilename = '%s-exon-intron-scores' % opt.name;
outFile = open(outfilename, 'w');
for j in range(len(exon_counts)):
exon_density = float(total_exon_sums[j]) / float(total_exon_sizes[j]);
intron_density = float(total_intron_sums[j]) / float(total_intron_sizes[j]);
exon_density /= float(total_num_tags);
intron_density /= float(total_num_tags);
outline = str(j+1) + " " + str(exon_density) + " " + str(intron_density) + "\n";
outFile.write(outline);
outFile.close();
SeparateByChrom.cleanup(chroms,'.bed1');
def main(argv):
parser = OptionParser()
parser.add_option("-a",
"--islandfile1",
action="store",
type="string",
dest="islandfile1",
metavar="<file>",
help="file 1 with islands info to be compared")
parser.add_option("-b",
"--islandfile2",
action="store",
type="string",
dest="islandfile2",
metavar="<file>",
help="file 2 with islands info to be compared")
parser.add_option("-s",
"--species",
action="store",
type="string",
dest="species",
help="species, mm8 or hg18",
metavar="<str>")
parser.add_option(
"-p",
"--overlapin1",
action="store",
type="string",
dest="overlapin1",
metavar="<file>",
help="file for islands in 1 overlapping with islands in 2")
parser.add_option(
"-q",
"--nonoverlapin1",
action="store",
type="string",
dest="nonoverlapin1",
help="file for islands in 1 not overlapping with islands in 2 ",
metavar="<file>")
(opt, args) = parser.parse_args(argv)
if len(argv) < 10:
parser.print_help()
sys.exit(1)
if opt.species in species_chroms.keys():
chroms = species_chroms[opt.species]
else:
print "This species is not recognized, exiting"
sys.exit(1)
total_overlap_number_1 = 0
total_islands_1 = 0
SeparateByChrom.separateByChrom(chroms, opt.islandfile1, '.island1')
SeparateByChrom.separateByChrom(chroms, opt.islandfile2, '.island2')
for chrom in chroms:
f = open(chrom + '.1in2', 'w')
g = open(chrom + '.1notin2', 'w')
bed_vals_2 = BED.BED(opt.species, chrom + '.island2', "BED3", 0)
if Utility.fileExists(chrom +
'.island1') and len(bed_vals_2[chrom]) > 0:
islandlist2 = bed_vals_2[chrom]
if (are_islands_sorted(islandlist2) != 1):
islandlist2.sort(key=operator.attrgetter('start'))
(island2_start_list, island2_end_list) = union_islands(islandlist2)
islands1 = open(chrom + '.island1', 'r')
for line in islands1:
if not re.match("#", line):
total_islands_1 += 1
line = line.strip()
sline = line.split()
start = int(sline[1])
end = int(sline[2])
if (region_overlap(start, end, island2_start_list,
island2_end_list) == 1):
f.write('\t'.join(sline) + '\n')
total_overlap_number_1 += 1
else:
g.write('\t'.join(sline) + '\n')
elif Utility.fileExists(chrom + '.island1') and (len(bed_vals_2[chrom])
== 0):
islands1 = open(chrom + '.island1', 'r')
for line in islands1:
if not re.match("#", line):
total_islands_1 += 1
line = line.strip()
sline = line.split()
g.write('\t'.join(sline) + '\n')
f.close()
g.close()
print "total number of island in " + opt.islandfile1 + ": ", total_islands_1
print "total number of island in " + opt.overlapin1 + ": ", total_overlap_number_1
SeparateByChrom.combineAllGraphFiles(chroms, '.1in2', opt.overlapin1)
SeparateByChrom.combineAllGraphFiles(chroms, '.1notin2', opt.nonoverlapin1)
SeparateByChrom.cleanup(chroms, '.1in2')
SeparateByChrom.cleanup(chroms, '.1notin2')
SeparateByChrom.cleanup(chroms, '.island1')
SeparateByChrom.cleanup(chroms, '.island2')
def main(argv):
parser = OptionParser()
parser.add_option("-s",
"--species",
action="store",
type="string",
dest="species",
help="species, mm8, hg18",
metavar="<str>")
parser.add_option("-a",
"--rawreadfile",
action="store",
type="string",
dest="readfile",
metavar="<file>",
help="raw read file in bed format")
parser.add_option("-f",
"--fragment_size",
action="store",
type="int",
dest="fragment_size",
metavar="<int>",
help="average size of a fragment after CHIP experiment")
parser.add_option("-b",
"--islandfile",
action="store",
type="string",
dest="islandfile",
metavar="<file>",
help="island file in BED format")
parser.add_option("-o",
"--outfile",
action="store",
type="string",
dest="out_file",
metavar="<file>",
help="island read count file")
(opt, args) = parser.parse_args(argv)
if len(argv) < 10:
parser.print_help()
sys.exit(1)
if opt.species in GenomeData.species_chroms.keys():
chroms = GenomeData.species_chroms[opt.species]
else:
print "This species is not recognized, exiting"
sys.exit(1)
islands = BED.BED(opt.species, opt.islandfile, "BED3", 0)
if Utility.fileExists(opt.readfile):
SeparateByChrom.separateByChrom(chroms, opt.readfile, '.bed1')
else:
print opt.readfile, " not found"
sys.exit(1)
total = 0
library_size = get_total_tag_counts.get_total_tag_counts(opt.readfile)
scaling_factor = 1000000
out = open(opt.out_file, 'w')
for chrom in chroms:
if chrom in islands.keys():
island_list = islands[chrom]
island_readcount_list = [0] * len(island_list)
if Utility.is_bed_sorted(island_list) == 0:
island_list.sort(key=operator.attrgetter('start'))
island_start_list = []
island_end_list = []
for item in island_list:
island_start_list.append(item.start)
island_end_list.append(item.end)
read_file = chrom + ".bed1"
f = open(read_file, 'r')
for line in f:
if not re.match("#", line):
line = line.strip()
sline = line.split()
position = tag_position(sline, opt.fragment_size)
index = find_readcount_on_islands(island_start_list,
island_end_list,
position)
if index >= 0:
island_readcount_list[index] += 1
total += 1
f.close()
for index in xrange(len(island_list)):
item = island_list[index]
normalized_read_count = island_readcount_list[index] / float(
library_size) * scaling_factor
outline = item.chrom + "\t" + str(item.start) + "\t" + str(
item.end) + "\t" + str(
island_readcount_list[index]) + "\t" + str(
normalized_read_count) + "\n"
out.write(outline)
SeparateByChrom.cleanup(chroms, '.bed1')
out.close()
print "Total number of reads on islands are: ", total
def main(argv):
parser = OptionParser()
parser.add_option("-s",
"--species",
action="store",
type="string",
dest="species",
help="species, mm8, hg18",
metavar="<str>")
parser.add_option("-a",
"--rawchipreadfile",
action="store",
type="string",
dest="chipreadfile",
metavar="<file>",
help="raw read file from chip in bed format")
parser.add_option("-b",
"--rawcontrolreadfile",
action="store",
type="string",
dest="controlreadfile",
metavar="<file>",
help="raw read file from control in bed format")
parser.add_option("-f",
"--fragment_size",
action="store",
type="int",
dest="fragment_size",
metavar="<int>",
help="average size of a fragment after CHIP experiment")
parser.add_option("-d",
"--islandfile",
action="store",
type="string",
dest="islandfile",
metavar="<file>",
help="island file in BED format")
parser.add_option("-o",
"--outfile",
action="store",
type="string",
dest="out_file",
metavar="<file>",
help="island read count summary file")
parser.add_option("-t",
"--mappable_fraction_of_genome_size ",
action="store",
type="float",
dest="fraction",
help="mapable fraction of genome size",
metavar="<float>")
(opt, args) = parser.parse_args(argv)
if len(argv) < 14:
parser.print_help()
sys.exit(1)
if opt.species in GenomeData.species_chroms.keys():
chroms = GenomeData.species_chroms[opt.species]
genomesize = sum(
GenomeData.species_chrom_lengths[opt.species].values())
genomesize = opt.fraction * genomesize
else:
print "This species is not recognized, exiting"
sys.exit(1)
chip_library_size = get_total_tag_counts.get_total_tag_counts(
opt.chipreadfile)
control_library_size = get_total_tag_counts.get_total_tag_counts(
opt.controlreadfile)
print "chip library size ", chip_library_size
print "control library size ", control_library_size
totalchip = 0
totalcontrol = 0
islands = BED.BED(opt.species, opt.islandfile, "BED3", 0)
# separate by chrom the chip library
if Utility.fileExists(opt.chipreadfile):
SeparateByChrom.separateByChrom(chroms, opt.chipreadfile, '.bed1')
else:
print opt.chipreadfile, " not found"
sys.exit(1)
# separate by chrom the control library
if Utility.fileExists(opt.controlreadfile):
SeparateByChrom.separateByChrom(chroms, opt.controlreadfile, '.bed2')
else:
print opt.controlreadfile, " not found"
sys.exit(1)
island_chip_readcount = {}
island_control_readcount = {}
for chrom in chroms:
if chrom in islands.keys():
if len(islands[chrom]) != 0:
island_list = islands[chrom]
if Utility.is_bed_sorted(island_list) == 0:
island_list.sort(key=operator.attrgetter('start'))
island_start_list = []
island_end_list = []
for item in island_list:
island_start_list.append(item.start)
island_end_list.append(item.end)
island_chip_readcount_list = [0] * len(island_list)
read_file = chrom + ".bed1"
f = open(read_file, 'r')
for line in f:
if not re.match("#", line):
line = line.strip()
sline = line.split()
position = associate_tags_with_regions.tag_position(
sline, opt.fragment_size)
index = associate_tags_with_regions.find_readcount_on_islands(
island_start_list, island_end_list, position)
if index >= 0:
island_chip_readcount_list[index] += 1
totalchip += 1
f.close()
island_chip_readcount[chrom] = island_chip_readcount_list
island_control_readcount_list = [0] * len(island_list)
read_file = chrom + ".bed2"
f = open(read_file, 'r')
for line in f:
if not re.match("#", line):
line = line.strip()
sline = line.split()
position = associate_tags_with_regions.tag_position(
sline, opt.fragment_size)
index = associate_tags_with_regions.find_readcount_on_islands(
island_start_list, island_end_list, position)
if index >= 0:
island_control_readcount_list[index] += 1
totalcontrol += 1
f.close()
island_control_readcount[chrom] = island_control_readcount_list
chip_background_read = chip_library_size - totalchip
control_background_read = control_library_size - totalcontrol
#scaling_factor = chip_background_read*1.0/control_background_read;
scaling_factor = chip_library_size * 1.0 / control_library_size
print "Total number of chip reads on islands is: ", totalchip
print "Total number of control reads on islands is: ", totalcontrol
#print "chip_background_read ", chip_background_read
#print "control_background_read ", control_background_read
out = open(opt.out_file, 'w')
pvalue_list = []
result_list = []
for chrom in chroms:
if chrom in islands.keys():
if len(islands[chrom]) != 0:
island_list = islands[chrom]
for index in xrange(len(island_list)):
item = island_list[index]
observation = (island_chip_readcount[chrom])[index]
control_tag = (island_control_readcount[chrom])[index]
if (island_control_readcount[chrom])[index] > 0:
#average = (island_control_readcount[chrom])[index] * scaling_factor;
average = control_tag * scaling_factor
fc = float(observation) / float(average)
else:
length = item.end - item.start + 1
average = length * control_library_size * 1.0 / genomesize
average = min(0.25, average) * scaling_factor
fc = float(observation) / float(average)
if observation > average:
pvalue = scipy.stats.poisson.sf(
(island_chip_readcount[chrom])[index], average)[()]
else:
pvalue = 1
pvalue_list.append(pvalue)
item_dic = {}
item_dic['chrom'] = item.chrom
item_dic['start'] = item.start
item_dic['end'] = item.end
item_dic['chip'] = observation
item_dic['control'] = control_tag
item_dic['pvalue'] = pvalue
item_dic['fc'] = fc
result_list.append(item_dic)
pvaluearray = scipy.array(pvalue_list)
pvaluerankarray = scipy.stats.rankdata(pvaluearray)
totalnumber = len(result_list)
for i in range(totalnumber):
item = result_list[i]
alpha = pvalue_list[i] * totalnumber / pvaluerankarray[i]
if alpha > 1:
alpha = 1
outline = item['chrom'] + "\t" + str(item['start']) + "\t" + str(
item['end']) + "\t" + str(item['chip']) + "\t" + str(
item['control']) + "\t" + str(item['pvalue']) + "\t" + str(
item['fc']) + "\t" + str(alpha) + "\n"
out.write(outline)
#pvalue_list.sort()
#for item in result_list:
#pvalue = float(item['pvalue'])
#alpha = pvalue * len(result_list) / (pvalue_list.index(pvalue) + 1)
#if alpha > 1:
#alpha = 1;
#outline = item['chrom'] + "\t" + str(item['start']) + "\t" + str(item['end']) + "\t" + str(item['chip']) + "\t" + str(item['control']) + "\t" + str(item['pvalue']) + "\t" + str(item['fc']) + "\t" + str(alpha) + "\n";
#out.write(outline);
out.close()
SeparateByChrom.cleanup(chroms, '.bed1')
SeparateByChrom.cleanup(chroms, '.bed2')
def get_read_count_on_genes(rawreadfile, fragment_size, knowngenefile,
regiontype, promoter_upstream_extension,
promoter_downstream_extension):
"""
This one provides an integrated module, where the chrom separation etc is done inside.
Promoter and GeneBody are mutually exclusive.
Promoter: TSS-upstreamextention, TSS+downstreamextension
GeneBody: TSS+downstreamextension, TES
ExonicRegion: exons of a gene taken together
PromoterGenebody: Promoter + gene body.
Return: a dictionary with key of gene name and value of read count
"""
knowngenes = UCSC_revised.KnownGenes(knowngenefile)
chroms = knowngenes.keys()
allowed_region_type = [
'Promoter', 'GeneBody', 'PromoterGenebody', 'ExonicRegion'
]
if regiontype not in allowed_region_type:
print " The allowed region types are Promoter, GeneBody, PromoterGenebody and ExonicRegion. The region type is not recognized, exiting"
sys.exit(1)
if regiontype == 'Promoter':
region_dic = knowngenes.getPromoters(promoter_upstream_extension,
promoter_downstream_extension)
if regiontype == 'GeneBody':
region_dic = knowngenes.getGenebodys(promoter_downstream_extension)
if regiontype == 'PromoterGenebody':
region_dic = knowngenes.getPromotergenebodys(
promoter_upstream_extension)
libName = (rawreadfile).split('/')[-1]
libName = libName.split('.')[0]
extension = "-" + libName + ".bed1"
if Utility_extended.fileExists(rawreadfile):
SeparateByChrom.separateByChrom(chroms, rawreadfile, extension)
else:
print rawreadfile, " not found"
sys.exit(1)
genes = {}
#for output
for chrom in chroms:
chrombed = chrom + extension
if Utility_extended.fileExists(chrombed):
gene_coords = knowngenes[chrom]
if len(gene_coords) > 0:
if regiontype == 'ExonicRegion':
(gene_name_list, region_length_list,
read_count_list) = get_read_count_on_exons(
gene_coords, chrombed, fragment_size)
else:
(gene_name_list, region_length_list,
read_count_list) = get_read_count_on_genic_regions(
region_dic[chrom], chrombed, fragment_size)
assert len(gene_name_list) == len(region_length_list)
assert len(gene_name_list) == len(read_count_list)
#RPKM = [0] * len(gene_name_list)
for i in xrange(len(gene_name_list)):
#if region_length_list[i] > 0:
# RPKM[i] = read_count_list[i] / (region_length_list[i]/1000.0) / (totalcount/1000000.0)
genes[gene_name_list[i]] = read_count_list[i]
#outline = gene_name_list[i] + '\t' + str(read_count_list[i]) + '\t' + str(RPKM[i]) + '\n'
#f.write(outline)
SeparateByChrom.cleanup(chroms, extension)
return genes
def main(argv):
parser = OptionParser()
parser.add_option("-b",
"--bedfile",
action="store",
type="string",
dest="bedfile",
metavar="<file>",
help="ChIP seq read file")
parser.add_option(
"-f",
"--fragment_size",
action="store",
type="int",
dest="fragment_size",
help=
"fragment_size determins the shift (half of fragment_size of ChIP-seq read position, in bps",
metavar="<int>")
parser.add_option("-t",
"--RE_tree_pickle_file",
action="store",
type="string",
dest="RE_Tree",
metavar="<file>",
help="file with RE tree in pickle format")
parser.add_option(
"-l",
"--RE_annotation_file_location",
action="store",
type="string",
dest="RE_file_location",
metavar="<file>",
help="location of RE files named in repClass_repFamily_repName.txt")
parser.add_option("-u",
"--upstream_extension",
action="store",
type="int",
dest="upstream_extension",
help="upstream extension from start",
metavar="<int>")
parser.add_option("-d",
"--downstream_extension",
action="store",
type="int",
dest="downstream_extension",
help="downstream extension from end",
metavar="<int>")
parser.add_option("-s",
"--species",
action="store",
type="string",
dest="species",
help="species, mm8, hg18, etc",
metavar="<str>")
parser.add_option("-n",
"--feature_name",
action="store",
type="string",
dest="feature_name",
help="name of the library",
metavar="<str>")
(opt, args) = parser.parse_args(argv)
if len(argv) < 16:
parser.print_help()
sys.exit(1)
startTime = time.time()
if opt.species in GenomeData.species_chroms.keys():
chroms = GenomeData.species_chroms[opt.species]
chrom_lengths = GenomeData.species_chrom_lengths[opt.species]
else:
print "This species is not recognized, exiting"
sys.exit(1)
total_count = get_total_tag_counts.get_total_tag_counts(opt.bedfile)
#Separate_by_chrom on bedfile
lib_name = (opt.bedfile).split('/')[-1] # remove directory
suffix = lib_name.split('.')[-1] # txt
lib_name = lib_name.split('.')[0]
extension = "-" + lib_name + '.' + suffix + "1"
if Utility_extended.fileExists(opt.bedfile):
if Utility_extended.chrom_files_exist(chroms, extension) != 1:
SeparateByChrom.separateByChrom(chroms, opt.bedfile, extension)
else:
print bedfile, " is not found"
sys.exit(1)
#load the RE tree to get the RE file names
re_tree = pickle.load(open(opt.RE_Tree, 'rb'))
(numb_classes, numb_families, numb_names) = numbers(re_tree)
print "There are %d classes, %d family, and %d names." % (
numb_classes, numb_families, numb_names)
#Prepare the summary
read_counts = {}
for reClass in re_tree.keys():
read_counts[reClass] = {}
for reFamily in re_tree[reClass].keys():
read_counts[reClass][reFamily] = {}
for reName in re_tree[reClass][reFamily]:
read_counts[reClass][reFamily][reName] = {}
#cycle through chrom
for chrom in chroms:
print chrom
chrom_length = chrom_lengths[chrom]
chrombed = chrom + extension
if Utility_extended.fileExists(chrombed):
# load in each read and shift
tag_position_list = []
inf = open(chrombed, 'r')
for line in inf:
if not re.match("#", line):
line = line.strip()
sline = line.split()
tag_position_list.append(
associate_tags_with_regions.tag_position(
sline, opt.fragment_size))
inf.close()
if not Utility_extended.is_list_sorted(tag_position_list):
tag_position_list.sort() #[tag_positions]
min_re_length = 10
for reClass in re_tree.keys():
for reFamily in re_tree[reClass].keys():
for reName in re_tree[reClass][reFamily]:
re_file_name = "_".join([reClass, reFamily, reName
]) + ".txt"
#{id:{feature_name:value}}
rc_dic = get_read_count(
opt.RE_file_location, re_file_name, opt.feature_name,
chrom, chrom_length, tag_position_list, total_count,
opt.upstream_extension, opt.downstream_extension,
min_re_length)
# id is unique and updated only once, so this should be ok
read_counts[reClass][reFamily][reName].update(rc_dic)
#{reClass:{reFamily:{reName:{id:feature_name, value}}}}
#feature_name include: feature_name + "_rc", feature_name + "_rpkm"
#output_file_name = feature_name + "_on_" + "mm9_rmsk.pkl"
#output = open(output_file_name, 'wb')
#pickle.dump(read_counts, output)
#output.close()
#instead of outputing a huge one, let's output many small pieces
breakdown_and_output(read_counts, opt.feature_name)
repClass = 'LTR'
repFamily = 'ERV1'
repName = 'RLTR4_Mm'
outfile_name = lib_name + "_on_" + "_".join([repClass, repFamily, repName
]) + ".dat"
test(read_counts, repClass, repFamily, repName, outfile_name)
SeparateByChrom.cleanup(chroms, extension)
print "it took", time.time() - startTime, "seconds."
def main(argv):
parser = OptionParser()
parser.add_option("-b", "--bedfile", action="store", type="string", dest="bedfile", metavar="<file>", help="island bed file")
parser.add_option("-t", "--RE_tree_pickle_file", action="store", type="string", dest="RE_Tree", metavar="<file>", help="file with RE tree in pickle format")
parser.add_option("-l", "--RE_annotation_file_location", action="store", type="string", dest="RE_file_location", metavar="<file>", help="location of RE files named in repClass_repFamily_repName.txt")
parser.add_option("-u", "--upstream_extension", action="store", type="int", dest="upstream_extension", help="upstream extension from start", metavar="<int>")
parser.add_option("-d", "--downstream_extension", action="store", type="int", dest="downstream_extension", help="downstream extension from end", metavar="<int>")
parser.add_option("-s", "--species", action="store", type="string", dest="species",help="species, mm8, hg18, etc", metavar="<str>")
(opt, args) = parser.parse_args(argv)
if len(argv) < 12:
parser.print_help()
sys.exit(1)
if opt.species in GenomeData.species_chroms.keys():
chroms = GenomeData.species_chroms[opt.species]
chrom_lengths = GenomeData.species_chrom_lengths[opt.species]
else:
print "This species is not recognized, exiting";
sys.exit(1);
#Separate_by_chrom on bedfile
lib_name = (opt.bedfile).split('/')[-1] # remove directory
suffix = lib_name.split('.')[-1] # txt
lib_name = lib_name.split('.')[0]
extension = "-" + lib_name +'.' + suffix +"1"
if Utility_extended.fileExists(opt.bedfile):
if Utility_extended.chrom_files_exist(chroms, extension) != 1:
SeparateByChrom.separateByChrom(chroms, opt.bedfile, extension)
else:
print bedfile, " is not found";
sys.exit(1)
print "\nLoad the RE tree to get the RE file names"
re_tree = pickle.load(open(opt.RE_Tree, 'rb'))
(numb_classes, numb_families, numb_names) = get_read_count_on_REs.numbers(re_tree)
print "There are %d classes, %d family, and %d names." %(numb_classes, numb_families, numb_names)
total_num_islands = 0
total_num_RE_islands = 0
#cycle through chrom
for chrom in chroms:
# Get the islands
island_list = []
print chrom
chrom_length = chrom_lengths[chrom]
chrombed = chrom + extension
if Utility_extended.fileExists(chrombed):
# load in each island
inf = open(chrombed,'r')
for line in inf:
if not re.match("#", line):
line = line.strip()
sline = line.split()
start = int(sline[1])
end = int(sline[2])
island_list.append( (start, end) )
inf.close()
if Utility_extended.is_tuplelist_sorted(island_list, 0) != 1:
island_list.sort(key = itemgetter[0]) # sort by start, assume non-overlapping
else:
print "%s can not be found" %chrombed
island_flags = [0 for island in island_list]
min_re_length = 10
for reClass in re_tree.keys():
for reFamily in re_tree[reClass].keys():
for reName in re_tree[reClass][reFamily]:
re_file_name = "_".join([reClass, reFamily, reName]) + ".txt"
#print re_file_name
this_island_flags = assign_islands_to_REs(opt.RE_file_location, re_file_name, chrom, chrom_length, island_list, opt.upstream_extension, opt.downstream_extension, min_re_length)
#Collect the results into island_flags
for i in xrange(len(this_island_flags)):
if this_island_flags[i] == 1:
island_flags[i] = 1
print "There are %d island on %s" %(len(island_list),chrom)
print "There are %d RE islands" %(sum(island_flags))
total_num_islands += len(island_list)
total_num_RE_islands += sum(island_flags)
SeparateByChrom.cleanup(chroms, extension)
print "There are %d islands" %(total_num_islands)
print "There are %d RE islands" %(total_num_RE_islands)
def main(argv):
parser = OptionParser()
parser.add_option("-s",
"--species",
action="store",
type="string",
dest="species",
help="species, mm8, hg18",
metavar="<str>")
parser.add_option("-a",
"--summary_graph_file1",
action="store",
type="string",
dest="bedfile1",
metavar="<file>",
help="summary graph file 1 in bed format")
parser.add_option("-b",
"--summary_graph_file2",
action="store",
type="string",
dest="bedfile2",
metavar="<file>",
help="summary graph file 2 in bed format")
parser.add_option("-i",
"--windows_size",
action="store",
type="int",
dest="window_size",
metavar="<int>",
help="window size in summary graph file")
parser.add_option(
"-d",
"--data_resolution",
action="store",
type="int",
dest="step",
metavar="<int>",
help=
"distance between data points, must be integer times of window size")
parser.add_option("-o",
"--outfile",
action="store",
type="string",
dest="out_file",
metavar="<file>",
help="output file extension")
(opt, args) = parser.parse_args(argv)
if len(argv) < 8:
parser.print_help()
sys.exit(1)
if opt.species in species_chroms.keys():
chroms = species_chroms[opt.species]
chrom_lengths = species_chrom_lengths[opt.species]
else:
print "This species is not recognized, exiting"
sys.exit(1)
SeparateByChrom.separateByChrom(['chr1'], opt.bedfile1, '.bed1')
SeparateByChrom.separateByChrom(['chr1'], opt.bedfile2, '.bed2')
generate_all_functions_2('.bed1', '.bed2', ['chr1'], opt.window_size,
opt.step, opt.out_file, chrom_lengths)
SeparateByChrom.cleanup(['chr1'], '.bed1')
SeparateByChrom.cleanup(['chr1'], '.bed2')
def main(argv):
desc = """This is a template for the analysis of aggretated tag distribution with respect to a set of points, such as the TSSs of known genes, with one profile from each strand."""
parser = OptionParser(description=desc)
parser.add_option("-k",
"--known_genes_file",
action="store",
type="string",
dest="known_file",
help="file with known genes",
metavar="<file>")
parser.add_option("-b",
"--bedfile",
action="store",
type="string",
dest="bedfile",
help="file with tags in bed format",
metavar="<file>")
parser.add_option("-c",
"--TypeOfSites",
action="store",
type="string",
dest="type",
help="TSS, TES, TFBS",
metavar="<str>")
parser.add_option("-o",
"--outfile",
action="store",
type="string",
dest="outfile",
help="outfile name",
metavar="<file>")
parser.add_option(
"-n",
"--normalization",
action="store",
type="float",
dest="norm",
help=
"additional normalization in addition to number of sites, number of reads per million and window_size per 1K"
)
parser.add_option("-s",
"--species",
action="store",
type="string",
dest="species",
help="species",
metavar="<str>")
parser.add_option("-u",
"--UpstreamExtension",
action="store",
type="int",
dest="upstreamExtension",
help="UpstreamExtension",
metavar="<int>")
parser.add_option("-d",
"--DownstreamExtension",
action="store",
type="int",
dest="downstreamExtension",
help="DownstreamExtension",
metavar="<int>")
parser.add_option("-r",
"--resolution",
action="store",
type="int",
dest="resolution",
help="resolution of the profile, eg, 5",
metavar="<int>")
parser.add_option(
"-w",
"--WindowSize",
action="store",
type="int",
dest="window_size",
help=
"window size for averaging. When window size > resolution, there is smoothing",
metavar="<int>")
(opt, args) = parser.parse_args(argv)
if len(argv) < 20:
parser.print_help()
sys.exit(1)
if opt.species in GenomeData.species_chroms.keys():
chroms = GenomeData.species_chroms[opt.species]
chrom_lengths = GenomeData.species_chrom_lengths[opt.species]
else:
print "This species is not recognized, exiting"
sys.exit(1)
#t0 = time.time()
libName = (opt.bedfile).split('/')[-1]
libName = libName.split('.')[0]
extension = "-" + libName + '.bed1'
SeparateByChrom.separateByChrom(chroms, opt.bedfile, extension)
num_genes = 0
num_tags = 0
profiles = {}
numPoints = float(opt.upstreamExtension + opt.downstreamExtension) / float(
opt.resolution)
print "Upstream extension: ", opt.upstreamExtension
print "Downstream extension: ", opt.downstreamExtension
print "Resolution:", opt.resolution
print "Scanning window size: ", opt.window_size
print "Number of Points", numPoints
plus_score_profile = [0] * int(numPoints)
minus_score_profile = [0] * int(numPoints)
if (opt.type == "TSS"):
coords = UCSC.KnownGenes(opt.known_file)
for chrom in chroms:
mycoords = {}
chrombed = chrom + extension
if Utility.fileExists(chrombed):
bed_vals = {}
bed_vals = BED.BED(opt.species, chrombed, "BED2")
num_tags += bed_vals.getNumVals()
if (chrom in coords.keys()):
if (len(coords[chrom]) > 0):
num_genes += len(coords[chrom])
mycoords[chrom] = coords[chrom]
profiles[chrom] = getTSSProfile(
mycoords, opt.upstreamExtension,
opt.downstreamExtension, opt.resolution,
opt.window_size, 75, 75, bed_vals)
elif (opt.type == "TES"):
coords = UCSC.KnownGenes(opt.known_file)
for chrom in chroms:
mycoords = {}
chrombed = chrom + extension
if Utility.fileExists(chrombed):
bed_vals = {}
bed_vals = BED.BED(opt.species, chrombed, "BED2")
num_tags += bed_vals.getNumVals()
if (chrom in coords.keys()):
if (len(coords[chrom]) > 0):
num_genes += len(coords[chrom])
mycoords[chrom] = coords[chrom]
profiles[chrom] = getTESProfile(
mycoords, opt.upstreamExtension,
opt.downstreamExtension, opt.resolution,
opt.window_size, 75, 75, bed_vals)
elif (opt.type == "TFBS"):
# Build coords
# Here we are assuming that the file has the format chrom location + .....for each line
# chrom is sline[0], location is sline[1]
coords = {}
if (opt.known_file):
infile = open(opt.known_file, 'r')
for line in infile:
""" check to make sure not a header line """
if not re.match("track", line):
line = line.strip()
sline = line.split()
if sline[0] not in coords.keys():
coords[sline[0]] = []
coords[sline[0]].append(atoi(sline[1]))
infile.close()
for chrom in chroms:
mycoords = {}
chrombed = chrom + extension
if Utility.fileExists(chrombed):
bed_vals = {}
bed_vals = BED.BED(opt.species, chrombed, "BED2")
num_tags += bed_vals.getNumVals()
if chrom in coords.keys():
if len(coords[chrom]) > 0:
num_genes += len(coords[chrom])
mycoords[chrom] = coords[chrom]
profiles[chrom] = getTFBSProfile(
mycoords, opt.upstreamExtension,
opt.downstreamExtension, opt.resolution,
opt.window_size, 75, 75, bed_vals)
else:
print "Only three types of locations are allowed: TSS, TES, TFBS"
sys.exit(1)
for chrom in profiles.keys():
(plus_scores, minus_scores) = profiles[chrom]
assert (int(numPoints) == len(plus_scores))
assert (int(numPoints) == len(minus_scores))
for i in xrange(int(numPoints)):
plus_score_profile[i] += plus_scores[i]
minus_score_profile[i] += minus_scores[i]
SeparateByChrom.cleanup(chroms, extension)
normalization = num_tags / 1000000.0
normalization *= num_genes
normalization *= opt.window_size / 1000.0
normalization *= opt.norm
print "Number of locations: ", num_genes
print "Number of reads: ", num_tags
print "Normalization is by total number of reads per million. normalization = ", normalization
xValues = output(opt.upstreamExtension, opt.resolution, plus_score_profile,
minus_score_profile, normalization, opt.outfile)
def main(argv):
parser = OptionParser()
parser.add_option(
"-s", "--species", action="store", type="string", dest="species", help="species, mm8, hg18", metavar="<str>"
)
parser.add_option(
"-a",
"--rawreadfile",
action="store",
type="string",
dest="readfile",
metavar="<file>",
help="raw read file in bed format",
)
parser.add_option(
"-f",
"--fragment_size",
action="store",
type="int",
dest="fragment_size",
metavar="<int>",
help="average size of a fragment after CHIP experiment",
)
parser.add_option(
"-b",
"--islandfile",
action="store",
type="string",
dest="islandfile",
metavar="<file>",
help="island file in BED format",
)
parser.add_option(
"-o",
"--outfile",
action="store",
type="string",
dest="out_file",
metavar="<file>",
help="island read count file",
)
(opt, args) = parser.parse_args(argv)
if len(argv) < 10:
parser.print_help()
sys.exit(1)
if opt.species in GenomeData.species_chroms.keys():
chroms = GenomeData.species_chroms[opt.species]
else:
print "This species is not recognized, exiting"
sys.exit(1)
islands = BED.BED(opt.species, opt.islandfile, "BED3", 0)
if Utility.fileExists(opt.readfile):
SeparateByChrom.separateByChrom(chroms, opt.readfile, ".bed1")
else:
print opt.readfile, " not found"
sys.exit(1)
total = 0
library_size = get_total_tag_counts.get_total_tag_counts(opt.readfile)
scaling_factor = 1000000
out = open(opt.out_file, "w")
for chrom in chroms:
if chrom in islands.keys():
island_list = islands[chrom]
island_readcount_list = [0] * len(island_list)
if Utility.is_bed_sorted(island_list) == 0:
island_list.sort(key=operator.attrgetter("start"))
island_start_list = []
island_end_list = []
for item in island_list:
island_start_list.append(item.start)
island_end_list.append(item.end)
read_file = chrom + ".bed1"
f = open(read_file, "r")
for line in f:
if not re.match("#", line):
line = line.strip()
sline = line.split()
position = tag_position(sline, opt.fragment_size)
index = find_readcount_on_islands(island_start_list, island_end_list, position)
if index >= 0:
island_readcount_list[index] += 1
total += 1
f.close()
for index in xrange(len(island_list)):
item = island_list[index]
normalized_read_count = island_readcount_list[index] / float(library_size) * scaling_factor
outline = (
item.chrom
+ "\t"
+ str(item.start)
+ "\t"
+ str(item.end)
+ "\t"
+ str(island_readcount_list[index])
+ "\t"
+ str(normalized_read_count)
+ "\n"
)
out.write(outline)
SeparateByChrom.cleanup(chroms, ".bed1")
out.close()
print "Total number of reads on islands are: ", total
def get_read_count_on_exons(genefile, bedfile, species, output):
gene_coords = UCSC.KnownGenes(genefile)
bed_vals = my_BED.Starts(species, bedfile)
#print bed_vals.keys() --- only those chroms in species hg18 stored in my_BED.py
num_tags = bed_vals.getNumVals()
print num_tags
if Utility.fileExists(bedfile):
SeparateByChrom.separateByChrom(bed_vals.keys(), bedfile, '.bed1')
else:
print bedfile, " not found"
sys.exit(1)
outFile = open(output, 'w')
tag_starts = []
exon_sums = 0
exon_sizes = 0
exon_density = 0
RPKM = 0
for chrom in gene_coords.keys():
if chrom in bed_vals.keys():
#print chrom
bed_vals = my_BED.Starts(species, chrom + '.bed1')
tag_starts = bed_vals[chrom]
#print len(tag_starts)
tag_starts.sort()
for g in gene_coords[chrom]:
if len(tag_starts) > 0:
#print 'tag_start_length='+str(len(tag_starts))
#print 'exonCount='+ str(g.exonCount)
exon_Starts = g.exonStarts.split(',')
exon_Ends = g.exonEnds.split(',')
assert len(exon_Starts) == len(exon_Ends)
if g.exonCount > 0:
exon_sums = 0
exon_sizes = 0
if plus.match(g.strand):
for i in range(0, int(g.exonCount)):
exon_sums += countTagsInWindow(
int(exon_Starts[i]), int(exon_Ends[i]),
tag_starts)
exon_sizes += abs(
int(exon_Ends[i]) - int(exon_Starts[i]))
## exon_density is per mappedreads(million) * exonlength(kb), edgeR will divide this by mappedreads
exon_density = (float(exon_sums) /
float(exon_sizes))
RPKM = (exon_density /
float(num_tags)) * 1000 * 1000000
#print exon_density
elif minus.match(g.strand):
for i in range(0, int(g.exonCount)):
exon_sums += countTagsInWindow(
int(exon_Starts[-2 - i]),
int(exon_Ends[-2 - i]), tag_starts)
exon_sizes += abs(
int(exon_Ends[-2 - i]) -
int(exon_Starts[-2 - i]))
exon_density = (float(exon_sums) /
float(exon_sizes))
RPKM = (exon_density /
float(num_tags)) * 1000 * 1000000
#print exon_density
print g.name, exon_sums, exon_sizes, exon_density, RPKM
else:
print g.name, exon_sums, exon_sizes, exon_density, RPKM
outline = str(g.name) + "\t" + str(RPKM) + "\n"
#outline = str(g.name) + "\t" + str(exon_sums) + "\t" + str(exon_sizes)+"\t" + str(exon_density)+"\t" + str(RPKM) + "\n"
outFile.write(outline)
outFile.close()
SeparateByChrom.cleanup(bed_vals.keys(), '.bed1')
return 0
def main(argv):
parser = OptionParser()
parser.add_option("-a", "--islandfile1", action="store", type="string", dest="islandfile1", metavar="<file>", help="file 1 with islands info to be compared")
parser.add_option("-b", "--islandfile2", action="store", type="string", dest="islandfile2", metavar="<file>", help="file 2 with islands info to be compared")
parser.add_option("-s", "--species", action="store", type="string", dest="species", help="species, mm8 or hg18", metavar="<str>")
parser.add_option("-p", "--overlapin1", action="store", type="string", dest="overlapin1", metavar="<file>", help="file for islands in 1 overlapping with islands in 2")
parser.add_option("-q", "--nonoverlapin1", action="store", type="string", dest="nonoverlapin1", help="file for islands in 1 not overlapping with islands in 2 ", metavar="<file>")
(opt, args) = parser.parse_args(argv)
if len(argv) < 10:
parser.print_help()
sys.exit(1)
if opt.species in species_chroms.keys():
chroms = species_chroms[opt.species];
else:
print "This species is not recognized, exiting";
sys.exit(1);
total_overlap_number_1 = 0
total_islands_1 = 0
SeparateByChrom.separateByChrom(chroms, opt.islandfile1, '.island1')
SeparateByChrom.separateByChrom(chroms, opt.islandfile2, '.island2')
for chrom in chroms:
f = open(chrom + '.1in2', 'w')
g = open(chrom + '.1notin2', 'w')
bed_vals_2 = BED.BED(opt.species, chrom+'.island2', "BED3", 0)
if Utility.fileExists(chrom+'.island1') and len(bed_vals_2[chrom])>0:
islandlist2 = bed_vals_2[chrom];
if (are_islands_sorted(islandlist2) != 1):
islandlist2.sort(key=operator.attrgetter('start'));
(island2_start_list, island2_end_list) = union_islands(islandlist2)
islands1 = open(chrom+'.island1', 'r')
for line in islands1:
if not re.match("#", line):
total_islands_1 += 1
line = line.strip()
sline = line.split()
start = int(sline[1])
end = int(sline[2])
if (region_overlap(start, end, island2_start_list, island2_end_list) == 1):
f.write('\t'.join(sline) + '\n')
total_overlap_number_1 += 1;
else:
g.write('\t'.join(sline) + '\n');
elif Utility.fileExists(chrom+'.island1') and (len(bed_vals_2[chrom])==0):
islands1 = open(chrom+'.island1', 'r')
for line in islands1:
if not re.match("#", line):
total_islands_1 += 1
line = line.strip()
sline = line.split()
g.write('\t'.join(sline) + '\n');
f.close()
g.close()
print "total number of island in "+opt.islandfile1+": ", total_islands_1;
print "total number of island in "+opt.overlapin1+": ", total_overlap_number_1;
SeparateByChrom.combineAllGraphFiles(chroms, '.1in2', opt.overlapin1);
SeparateByChrom.combineAllGraphFiles(chroms, '.1notin2', opt.nonoverlapin1);
SeparateByChrom.cleanup(chroms, '.1in2')
SeparateByChrom.cleanup(chroms, '.1notin2')
SeparateByChrom.cleanup(chroms, '.island1')
SeparateByChrom.cleanup(chroms, '.island2')
def main(argv):
parser = OptionParser()
parser.add_option("-s", "--species", action="store", type="string", dest="species", help="species, mm8, hg18", metavar="<str>")
parser.add_option("-a", "--rawchipreadfile", action="store", type="string", dest="chipreadfile", metavar="<file>", help="raw read file from chip in bed format")
parser.add_option("-b", "--rawcontrolreadfile", action="store", type="string", dest="controlreadfile", metavar="<file>", help="raw read file from control in bed format")
parser.add_option("-f", "--fragment_size", action="store", type="int", dest="fragment_size", metavar="<int>", help="average size of a fragment after CHIP experiment")
parser.add_option("-d", "--islandfile", action="store", type="string", dest="islandfile", metavar="<file>", help="island file in BED format")
parser.add_option("-o", "--outfile", action="store", type="string", dest="out_file", metavar="<file>", help="island read count summary file")
parser.add_option("-t", "--mappable_fraction_of_genome_size ", action="store", type="float", dest="fraction", help="mapable fraction of genome size", metavar="<float>")
(opt, args) = parser.parse_args(argv)
if len(argv) < 14:
parser.print_help()
sys.exit(1)
if opt.species in GenomeData.species_chroms.keys():
chroms = GenomeData.species_chroms[opt.species];
genomesize = sum (GenomeData.species_chrom_lengths[opt.species].values());
genomesize = opt.fraction * genomesize;
else:
print "This species is not recognized, exiting";
sys.exit(1);
chip_library_size=get_total_tag_counts.get_total_tag_counts(opt.chipreadfile);
control_library_size=get_total_tag_counts.get_total_tag_counts(opt.controlreadfile);
print "chip library size ", chip_library_size
print "control library size ", control_library_size
totalchip = 0;
totalcontrol = 0;
islands = BED.BED(opt.species, opt.islandfile, "BED3", 0);
# separate by chrom the chip library
if Utility.fileExists(opt.chipreadfile):
SeparateByChrom.separateByChrom(chroms, opt.chipreadfile, '.bed1');
else:
print opt.chipreadfile, " not found";
sys.exit(1)
# separate by chrom the control library
if Utility.fileExists(opt.controlreadfile):
SeparateByChrom.separateByChrom(chroms, opt.controlreadfile, '.bed2');
else:
print opt.controlreadfile, " not found";
sys.exit(1)
island_chip_readcount = {};
island_control_readcount = {};
for chrom in chroms:
if chrom in islands.keys():
if len(islands[chrom]) != 0:
island_list = islands[chrom];
if Utility.is_bed_sorted(island_list) == 0:
island_list.sort(key=operator.attrgetter('start'));
island_start_list = []
island_end_list = []
for item in island_list:
island_start_list.append(item.start)
island_end_list.append(item.end)
island_chip_readcount_list=[0]*len(island_list);
read_file = chrom + ".bed1";
f = open(read_file,'r')
for line in f:
if not re.match("#", line):
line = line.strip()
sline = line.split()
position = associate_tags_with_regions.tag_position(sline, opt.fragment_size)
index =associate_tags_with_regions.find_readcount_on_islands(island_start_list, island_end_list, position);
if index >= 0:
island_chip_readcount_list[index] += 1;
totalchip += 1;
f.close();
island_chip_readcount[chrom] = island_chip_readcount_list;
island_control_readcount_list=[0]*len(island_list);
read_file = chrom + ".bed2";
f = open(read_file,'r')
for line in f:
if not re.match("#", line):
line = line.strip()
sline = line.split()
position = associate_tags_with_regions.tag_position(sline, opt.fragment_size)
index = associate_tags_with_regions.find_readcount_on_islands(island_start_list, island_end_list, position);
if index >= 0:
island_control_readcount_list[index] += 1;
totalcontrol += 1;
f.close();
island_control_readcount[chrom] = island_control_readcount_list;
chip_background_read = chip_library_size - totalchip;
control_background_read = control_library_size - totalcontrol;
#scaling_factor = chip_background_read*1.0/control_background_read;
scaling_factor = chip_library_size*1.0/control_library_size;
print "Total number of chip reads on islands is: ", totalchip;
print "Total number of control reads on islands is: ", totalcontrol;
#print "chip_background_read ", chip_background_read
#print "control_background_read ", control_background_read
out = open(opt.out_file, 'w');
pvalue_list = [];
result_list = [];
for chrom in chroms:
if chrom in islands.keys():
if len(islands[chrom]) != 0:
island_list = islands[chrom];
for index in xrange(len(island_list)):
item = island_list[index];
observation = (island_chip_readcount[chrom])[index];
control_tag = (island_control_readcount[chrom])[index];
if (island_control_readcount[chrom])[index] > 0:
#average = (island_control_readcount[chrom])[index] * scaling_factor;
average = control_tag * scaling_factor
fc = float(observation)/float(average);
else:
length = item.end - item.start + 1;
average = length * control_library_size *1.0/genomesize;
average = min(0.25, average)* scaling_factor;
fc = float(observation)/float(average);
if observation > average:
pvalue = scipy.stats.poisson.sf((island_chip_readcount[chrom])[index], average)[()];
else:
pvalue = 1;
pvalue_list.append(pvalue);
item_dic = {}
item_dic['chrom'] = item.chrom
item_dic['start'] = item.start
item_dic['end'] = item.end
item_dic['chip'] = observation
item_dic['control'] = control_tag
item_dic['pvalue'] = pvalue
item_dic['fc'] = fc
result_list.append(item_dic)
pvaluearray=scipy.array(pvalue_list);
pvaluerankarray=scipy.stats.rankdata(pvaluearray);
totalnumber = len(result_list);
for i in range(totalnumber):
item = result_list[i];
alpha = pvalue_list[i] * totalnumber/pvaluerankarray[i];
if alpha > 1:
alpha = 1;
outline = item['chrom'] + "\t" + str(item['start']) + "\t" + str(item['end']) + "\t" + str(item['chip']) + "\t" + str(item['control']) + "\t" + str(item['pvalue']) + "\t" + str(item['fc']) + "\t" + str(alpha) + "\n";
out.write(outline);
#pvalue_list.sort()
#for item in result_list:
#pvalue = float(item['pvalue'])
#alpha = pvalue * len(result_list) / (pvalue_list.index(pvalue) + 1)
#if alpha > 1:
#alpha = 1;
#outline = item['chrom'] + "\t" + str(item['start']) + "\t" + str(item['end']) + "\t" + str(item['chip']) + "\t" + str(item['control']) + "\t" + str(item['pvalue']) + "\t" + str(item['fc']) + "\t" + str(alpha) + "\n";
#out.write(outline);
out.close();
SeparateByChrom.cleanup(chroms, '.bed1');
SeparateByChrom.cleanup(chroms, '.bed2');
def main(argv):
parser = OptionParser()
parser.add_option("-a",
"--islandfile1",
action="store",
type="string",
dest="islandfile1",
metavar="<file>",
help="file 1 with islands info to be unioned")
parser.add_option(
"-b",
"--islandfile2",
action="store",
type="string",
dest="islandfile2",
metavar="<file>",
help="file 2 with islands info to be unioned; if no, type in any word")
parser.add_option("-s",
"--species",
action="store",
type="string",
dest="species",
help="species, mm8 or hg18",
metavar="<str>")
parser.add_option("-o",
"--outputfile",
action="store",
type="string",
dest="outfile",
metavar="<file>",
help="output file name")
(opt, args) = parser.parse_args(argv)
if len(argv) < 8:
parser.print_help()
sys.exit(1)
if opt.species in species_chroms.keys():
chroms = species_chroms[opt.species]
else:
print "This species is not recognized, exiting"
sys.exit(1)
SeparateByChrom.separateByChrom(chroms, opt.islandfile1, '.island1')
if Utility.fileExists(opt.islandfile2):
SeparateByChrom.separateByChrom(chroms, opt.islandfile2, '.island2')
for chrom in chroms:
f = open(chrom + '.output', 'w')
bed_vals_1 = BED.BED(opt.species, chrom + '.island1', "BED3", 0)
bed_vals_2 = BED.BED(opt.species, chrom + '.island2', "BED3", 0)
if len(bed_vals_1[chrom]) > 0 or len(bed_vals_2[chrom]) > 0:
islandlist = bed_vals_1[chrom] + bed_vals_2[chrom]
union_islands_to_file(islandlist, f)
f.close()
SeparateByChrom.cleanup(chroms, '.island2')
else:
for chrom in chroms:
f = open(chrom + '.output', 'w')
bed_vals_1 = BED.BED(opt.species, chrom + '.island1', "BED3", 0)
if len(bed_vals_1[chrom]) > 0:
islandlist = bed_vals_1[chrom]
union_islands_to_file(islandlist, f)
f.close()
SeparateByChrom.combineAllGraphFiles(chroms, '.output', opt.outfile)
SeparateByChrom.cleanup(chroms, '.output')
SeparateByChrom.cleanup(chroms, '.island1')
def main(argv):
parser = OptionParser()
parser.add_option(
"-a",
"--AluElementsFile",
action="store",
type="string",
dest="Alus",
help="input Alu annotation file for non-strand specific analysis",
metavar="<file>")
parser.add_option(
"-u",
"--entrez_genes_file",
action="store",
type="string",
dest="entrez_collection",
metavar="<file>",
help=
"file with curated known genes clustered by entrez ID in pickle format"
)
parser.add_option("-o",
"--outfile",
action="store",
type="string",
dest="outfile",
metavar="<file>",
help="output file name for genes and tag numbers")
parser.add_option("-s",
"--species",
action="store",
type="string",
dest="species",
help="species, mm8, hg18, etc",
metavar="<str>")
(opt, args) = parser.parse_args(argv)
if len(argv) < 8:
parser.print_help()
sys.exit(1)
startTime = time.time()
if opt.species in GenomeData.species_chroms.keys():
chroms = GenomeData.species_chroms[opt.species]
else:
print "This species is not recognized, exiting"
sys.exit(1)
# entrez_collection is a dic (keyed by entrez_id) of lists of EntrezGene object
annotation = open(opt.entrez_collection, 'rb')
temp = pickle.load(annotation)
my_entrez_genes = Entrez.KnownEntrezGenes(chroms, temp)
annotation.close()
#test entrez, checks out
#id = my_entrez_genes.entrez_genes.keys()[0]
#print id
#for i in my_entrez_genes.entrez_genes[id].transcripts:
#print i.getAll()
lib_name = (opt.Alus).split('/')[-1] # remove directory
suffix = lib_name.split('.')[-1] # txt
lib_name = lib_name.split('.')[0]
extension = "-" + lib_name + '.' + suffix + "1"
if Utility_extended.fileExists(opt.Alus):
if Utility_extended.chrom_files_exist(chroms, extension) != 1:
# Separate by chrom and sort by start
print chroms, extension, " files do not exist, separate by chroms. "
SeparateByChrom.separateByChrom(chroms, opt.Alus, extension)
else:
print opt.Alus, " is not found"
sys.exit(1)
Alus_in_shared_intron = {}
Alus_in_shared_exon = {}
Alus_in_merged_transcript = {}
for chrom in chroms:
(shared_intron_Alus, shared_exon_Alus,
merged_transcript_Alus) = assign_AluElements_to_intronexons_by_chrom(
my_entrez_genes, chrom + extension, chrom)
if chrom == chroms[0]:
myid = shared_intron_Alus.keys()[0]
test(my_entrez_genes, shared_intron_Alus, myid)
Alus_in_shared_intron.update(shared_intron_Alus)
Alus_in_shared_exon.update(shared_exon_Alus)
Alus_in_merged_transcript.update(merged_transcript_Alus)
#{entrezID:[(region=(start, end), Alu_count)]}
Alus_in_shared_intron_dist = {}
for myid in Alus_in_shared_intron.keys():
shared_intronic_regions_on_this_gene = Alus_in_shared_intron[myid]
Alus_on_shared_intronic_regions_on_this_gene = []
for region in shared_intronic_regions_on_this_gene:
region_coord, Alu_positions = region
number_of_Alus = len(Alu_positions)
Alus_on_shared_intronic_regions_on_this_gene.append(
(region_coord, number_of_Alus))
Alus_in_shared_intron_dist[
myid] = Alus_on_shared_intronic_regions_on_this_gene
outname = opt.outfile + "_Alu_distribution_in_shared_intron.pkl"
output = open(outname, 'wb')
pickle.dump(Alus_in_shared_intron_dist, output)
print "The number of genes output to %s is %d " % (
outname, len(Alus_in_shared_intron.keys()))
output.close()
#total_intronic_regions = 0
#for myid in Alus_in_shared_intron.keys():
# total_intronic_regions += len(Alus_in_shared_intron[myid])
#print "There are %d genes with %d shared intronic regions " % (len(Alus_in_shared_intron.keys()), total_intronic_regions)
#{entrezID:[(region, Alu_positions)]}
outname = opt.outfile + "_Alus_in_shared_intron.pkl"
output = open(outname, 'wb')
pickle.dump(Alus_in_shared_intron, output)
print "The number of genes output to %s is %d " % (
outname, len(Alus_in_shared_intron.keys()))
output.close()
#{entrezID:[(region, Alu_positions)]}
outname = opt.outfile + "_Alus_in_shared_exon.pkl"
output = open(outname, 'wb')
pickle.dump(Alus_in_shared_exon, output)
print "The number of genes output to %s is %d " % (
outname, len(Alus_in_shared_exon.keys()))
output.close()
#Though in this case the structure can be simpler: {entrezID:(region, Alu_count)}, it is better to make the interface uniform.{entrezID:[(region, Alu_count)]}
Alus_in_merged_transcript_dist = {}
for myid in Alus_in_merged_transcript.keys():
assert len(Alus_in_merged_transcript[myid]) == 1
region = (Alus_in_merged_transcript[myid])[0]
region_coord, Alu_positions = region
number_of_Alus = len(Alu_positions)
Alus_in_merged_transcript_dist[myid] = [(region_coord, number_of_Alus)]
outname = opt.outfile + "_Alu_distribution_in_merged_transcript.pkl"
output = open(outname, 'wb')
pickle.dump(Alus_in_merged_transcript_dist, output)
print "The number of genes output to %s is %d " % (
outname, len(Alus_in_merged_transcript.keys()))
output.close()
#{entrezID:[(region, Alu_positions)]}
outname = opt.outfile + "_Alus_in_merged_transcript.pkl"
output = open(outname, 'wb')
pickle.dump(Alus_in_merged_transcript, output)
print "The number of genes output to %s is %d " % (
outname, len(Alus_in_merged_transcript.keys()))
output.close()
print "it took", time.time() - startTime, "seconds."
def AssignPeaksToEntrez3UTRs(entrez_genes, peakfile, chroms, chrom_lengths, peak_threshold, downstream_extension):
"""
Returns {entrez_id:(gene, ThreeUTR_length, peaks_on_3UTR)}
gene:gene = entrez_genes_by_chrom.entrez_genes[entrez_id]
ThreeUTR_length: longest 3UTR length; length includes the downstream extension
peaks_on_3UTR:[(location, read_count)]
"""
peaks_on_entrez_3UTRs = {} #store the peaks for each 3UTR of the entrez cluster. {Entrez_ID: (gene, ThreeUTR_length, peaks_on_3UTR)}
if Utility_extended.fileExists(peakfile):
# Read the peaks, which is assumed to have the pseudo ucsc format
island_libName1 = (peakfile).split('/')[-1]
island_suffix1 = island_libName1.split('.')[-1]
island_libName1 = island_libName1.split('.')[0]
island_extension1 = "-" + island_libName1 + '.' + island_suffix1 + "1"
SeparateByChrom.separateByChrom(chroms, peakfile, island_extension1)
else:
print peakfile, " is not found";
sys.exit(1)
for chrom in chroms:
if chrom in entrez_genes.chroms:
entrez_genes_by_chrom = Entrez.KnownEntrezGenes([chrom], entrez_genes.subset_by_chrom(chrom))
this_chrom_length = chrom_lengths[chrom]
# Load in the PA peak information
if Utility_extended.fileExists(chrom + island_extension1):
inf = open(chrom + island_extension1, 'r')
# Read in the peaks and separate the forward strand peaks and the reverse strand peaks
five_peaks = [] # peaks on forward strand, element (location, read_count)
three_peaks = [] # peaks on reverse strand, element (location, read_count)
for line in inf:
line = line.strip();
sline = line.split();
strand = sline[2]
if plus.match(strand):
if float(sline[10]) >= peak_threshold:
five_peaks.append ((int(sline[3]), float(sline[10])))
elif minus.match(strand):
if float(sline[10]) >= peak_threshold:
three_peaks.append ((int(sline[4]), float(sline[10])))
five_peaks = sorted(five_peaks, key = itemgetter(0)) #sort according to location
five_peaks_location = [item[0] for item in five_peaks]
three_peaks = sorted(three_peaks, key = itemgetter(0))
three_peaks_location = [item[0] for item in three_peaks]
inf.close()
for entrez_id in entrez_genes_by_chrom.entrez_ids:
gene = entrez_genes_by_chrom.entrez_genes[entrez_id] # an EntrezGene class object
# For the set of transcripts, use the longest 3UTR at the designated representative 3UTR
transcript_with_longest_3UTR = gene.identify_transcript_with_longest_3UTR() # a UCSC class object
if plus.match(transcript_with_longest_3UTR.strand):
start = transcript_with_longest_3UTR.cdsEnd
end = min(transcript_with_longest_3UTR.txEnd + downstream_extension, this_chrom_length)
start_ind = bisect.bisect_left(five_peaks_location, start);
end_ind = bisect.bisect_right(five_peaks_location, end);
peaks_on_3UTR = five_peaks[start_ind: end_ind] #[(mode_location, readcount)]
if minus.match(transcript_with_longest_3UTR.strand):
start = max(transcript_with_longest_3UTR.txStart - downstream_extension, 0)
end = transcript_with_longest_3UTR.cdsStart
start_ind = bisect.bisect_left(three_peaks_location, start);
end_ind = bisect.bisect_right(three_peaks_location, end);
peaks_on_3UTR = three_peaks[start_ind: end_ind]
ThreeUTR_length = end - start + 1 #length includes the downstream extension
peaks_on_entrez_3UTRs[entrez_id] = (gene, ThreeUTR_length, peaks_on_3UTR)
SeparateByChrom.cleanup(chroms, island_extension1)
return peaks_on_entrez_3UTRs
def main(argv):
parser = OptionParser()
parser.add_option("-s",
"--species",
action="store",
type="string",
dest="species",
help="species under consideration",
metavar="<str>")
parser.add_option("-b",
"--raw_bed_file",
action="store",
type="string",
dest="bed_file",
help="raw bed file",
metavar="<file>")
parser.add_option("-o",
"--output_file_name",
action="store",
type="string",
dest="out_file",
help="output file name",
metavar="<file>")
(opt, args) = parser.parse_args(argv)
if len(argv) < 6:
parser.print_help()
sys.exit(1)
if opt.species in GenomeData.species_chroms.keys():
chroms = GenomeData.species_chroms[opt.species]
else:
print "This species is not recognized, exiting"
sys.exit(1)
SeparateByChrom.separateByChrom(chroms, opt.bed_file, '.bed1')
total_copy_number_distribution = {}
total_total = 0
for chrom in chroms:
if (Utility_extended.fileExists(chrom + ".bed1")):
copy_number_distribution, total = break_strand_and_tally(chrom)
total_copy_number_distribution = copy.copy(
combine(copy_number_distribution,
total_copy_number_distribution))
total_total += total
#get total read count
total = 0
for mykey in total_copy_number_distribution.keys():
total += mykey * total_copy_number_distribution[mykey]
print "There are %f reads in %s" % (total, opt.bed_file)
#print total_total
#Normalize
normalization = sum(total_copy_number_distribution.values())
for mykey in total_copy_number_distribution.keys():
total_copy_number_distribution[mykey] /= normalization * 1.0
#Output
Utility_extended.output_dic(total_copy_number_distribution, opt.out_file,
"key", False)
SeparateByChrom.cleanup(chroms, '.bed1')