def filter_call(sample):
if mglobals.original:
os.chdir(join(mglobals.original_path, sample))
else:
os.chdir(join(mglobals.alternate_path, sample))
log.info('Filtering {0} by coverage'.format(sample))
helpers.filter_vcf_by_coverage_cutoffs(
vcf=(sample + in_file_extension),
cutoff_table=mglobals.coverage_cutoffs)
log.info('Filtering {0} according to SNP file: {1}'.format(
sample, mglobals.current_snp_file))
dgrp_intersect_command = [
'nice',
'-n',
'5',
'intersectBed',
'-a',
(sample + '_covfil.vcf'), # the output of the helper
# function above.
'-b',
mglobals.current_snp_file,
'-wa'
]
sample_dgrp_intersect = sample + out_file_extension
with open(sample_dgrp_intersect, 'w') as out:
helpers.sub_call(dgrp_intersect_command, stdout=out)
def tophat_call(sample, ref_fasta):
if mglobals.original:
os.chdir(join(mglobals.original_path, sample))
else:
os.chdir(join(mglobals.alternate_path, sample))
ref_fasta_base = ref_fasta.split('.')[0]
mismatches = '2'
number_of_samples = len(mglobals.samples_list)
threads_per_sample = mglobals.cpu_count//number_of_samples
threads = str(threads_per_sample)
log.info('threads per sample ' + threads)
log.info('tophat: aligning sample {} with ref fasta {}'.format(sample, ref_fasta))
tophat_params = ['nice', '-n', '5',
'tophat',
'-p', threads,
'-G', mglobals.dros_gtf,
'--transcriptome-index=../transcriptome_data/known',
'-N', mismatches,
'--b2-L', '20',
'--b2-N', '1',
'--read-edit-dist', mismatches,
'-o', (sample + '_thout'),
'--no-novel-juncs',
ref_fasta_base,
join(mglobals.samples_path, (sample + '.fastq'))]
helpers.sub_call(tophat_params)
log.info('tophat: finished analyzing sample: {} with ref fasta: {}'.format(sample, ref_fasta))
def variant_calls_call(sample):
if mglobals.original:
os.chdir(join(mglobals.original_path, sample))
else:
os.chdir(join(mglobals.alternate_path, sample))
log.info('Varscan: creating csv for: ' + sample)
varscan_command = [
'nice',
'-n',
'5',
'java',
'-jar',
mglobals.varscan_path,
'mpileup2snp',
(sample + in_file_extension),
'--min-coverage',
'2',
'--min-avg-qual',
'20',
'--strand-filter',
'0',
'--p-value',
'1',
'--min-var-freq',
'1e-10',
'--output-vcf',
'1',
]
output_file = sample + out_file_extension
with open(output_file, 'w') as out:
helpers.sub_call(varscan_command, stdout=out)
log.info('varscan finished for: ' + sample)
def filter_call(sample):
if mglobals.original:
os.chdir(join(mglobals.original_path, sample))
else:
os.chdir(join(mglobals.alternate_path, sample))
log.info("Filtering {0} by coverage".format(sample))
helpers.filter_vcf_by_coverage_cutoffs(vcf=(sample + in_file_extension), cutoff_table=mglobals.coverage_cutoffs)
log.info("Filtering {0} according to SNP file: {1}".format(sample, mglobals.current_snp_file))
dgrp_intersect_command = [
"nice",
"-n",
"5",
"intersectBed",
"-a",
(sample + "_covfil.vcf"), # the output of the helper
# function above.
"-b",
mglobals.current_snp_file,
"-wa",
]
sample_dgrp_intersect = sample + out_file_extension
with open(sample_dgrp_intersect, "w") as out:
helpers.sub_call(dgrp_intersect_command, stdout=out)
def variant_calls_call(sample):
if mglobals.original:
os.chdir(join(mglobals.original_path, sample))
else:
os.chdir(join(mglobals.alternate_path, sample))
log.info("Varscan: creating csv for: " + sample)
varscan_command = [
"nice",
"-n",
"5",
"java",
"-jar",
mglobals.varscan_path,
"mpileup2snp",
(sample + in_file_extension),
"--min-coverage",
"2",
"--min-avg-qual",
"20",
"--strand-filter",
"0",
"--p-value",
"1",
"--min-var-freq",
"1e-10",
"--output-vcf",
"1",
]
output_file = sample + out_file_extension
with open(output_file, "w") as out:
helpers.sub_call(varscan_command, stdout=out)
log.info("varscan finished for: " + sample)
def tophat_call(sample, ref_fasta):
if mglobals.original:
os.chdir(join(mglobals.original_path, sample))
else:
os.chdir(join(mglobals.alternate_path, sample))
ref_fasta_base = ref_fasta.split('.')[0]
mismatches = '5'
mate_inner = sample.split('_')[2]
number_of_samples = len(mglobals.samples_list)
threads_per_sample = mglobals.cpu_count // number_of_samples
threads = str(threads_per_sample)
log.info('threads per sample ' + threads)
log.info('tophat: aligning sample {} with ref fasta {}'.format(
sample, ref_fasta))
tophat_params = [
'nice', '-n', '5', 'tophat', '-p', threads, '-G',
mglobals.dros_gtf,
'--transcriptome-index=../transcriptome_data/known', '-N',
mismatches, '--b2-L', '20',
'--b2-N', '1', '--read-edit-dist', mismatches, '-o',
(sample + '_thout'), '--no-novel-juncs', '--mate-inner-dist',
mate_inner, ref_fasta_base,
join(mglobals.samples_path, (sample + '_trim_R1.fastq')),
join(mglobals.samples_path, (sample + '_trim_R2.fastq'))
]
helpers.sub_call(tophat_params)
log.info(
'tophat: finished analyzing sample: {} with ref fasta: {}'.format(
sample, ref_fasta))
def trim_call(sample):
log.info('Trimming sample {}'.format(sample))
trimmed_path = join(mglobals.trimmed_path, sample)
p_trim_R1 = trimmed_path + '_trim_R1.fastq'
u_trim_R1 = trimmed_path + '_u_trim_R1.fastq'
p_trim_R2 = trimmed_path + '_trim_R2.fastq'
u_trim_R2 = trimmed_path + '_u_trim_R2.fastq'
if os.path.exists(p_trim_R1) and os.path.exists(p_trim_R2):
log.info('Sample already trimmed, linking from trimmed_path')
# Need the try block because will fail if link already exists
try:
os.symlink(p_trim_R1, os.path.basename(p_trim_R1))
os.symlink(p_trim_R2, os.path.basename(p_trim_R2))
except OSError:
pass
else:
threads = str(mglobals.cpu_count //
10) # This optimal for ~40 samples but would
# probably crash with a higher number.
log.info('Sample not already trimmed, trimming now')
trim_params = ([
'nice', '-n', '5', 'java', '-jar', mglobals.trimmomatic_path,
'PE', '-threads', threads, '-phred33', sample + '_R1.fastq',
sample + '_R2.fastq', p_trim_R1, u_trim_R1, p_trim_R2,
u_trim_R2, 'SLIDINGWINDOW:4:20', 'TRAILING:20', 'MINLEN:50'
])
helpers.sub_call(trim_params)
log.info('Finished trimming sample {}, linking in.'.format(sample))
os.symlink(p_trim_R1, os.path.basename(p_trim_R1))
os.symlink(p_trim_R2, os.path.basename(p_trim_R2))
def annotate_call(sample):
if mglobals.original:
os.chdir(join(mglobals.original_path, sample))
else:
os.chdir(join(mglobals.alternate_path, sample))
log.info('Annotating ' + sample + in_file_extension + ' with ' +
mglobals.current_genes_file)
gtf_intersect_command = [
'nice', '-n', '5', 'intersectBed', '-a',
(sample + in_file_extension), '-b', mglobals.current_genes_file,
'-wa', '-wb'
]
sample_gtf_intersect = sample + out_file_extension
with open(sample_gtf_intersect, 'w') as out:
helpers.sub_call(gtf_intersect_command, stdout=out)
def annotate_call(sample):
if mglobals.original:
os.chdir(join(mglobals.original_path, sample))
else:
os.chdir(join(mglobals.alternate_path, sample))
log.info('Annotating ' + sample + in_file_extension + ' with ' + mglobals.current_genes_file)
gtf_intersect_command = ['nice', '-n', '5',
'intersectBed',
'-a', (sample + in_file_extension),
'-b', mglobals.current_genes_file,
'-wa',
'-wb'
]
sample_gtf_intersect = sample + out_file_extension
with open(sample_gtf_intersect, 'w') as out:
helpers.sub_call(gtf_intersect_command, stdout=out)
def build_fastas_call(sample):
os.chdir(join(mglobals.original_path, sample))
log.info("Beginning to build alternate fasta for: " + sample)
fixed_vcf = sample + "_fix.vcf"
log.info("Removing duplicated annotations (per transcript annotations)")
helpers.remove_dups(input_f=(sample + in_file_extension), output_f=(sample + ".temp"))
log.info("Removing duplicate alleles and adding header")
# The fact that the original vcf was named sample.vcf is hardcoded
# here. Be careful.
helpers.vcf_fix(template_f=(sample + ".vcf"), input_f=(sample + ".temp"), output_f=fixed_vcf)
# Delete temporary file
os.remove(sample + ".temp")
log.info("Creating alternate fasta")
new_fasta = sample + "_unfixed.fa"
helpers.sub_call(
[
"nice",
"-n",
"5",
"java",
"-Xmx2g",
"-jar",
mglobals.gatk_path,
"-R",
"genome.fa",
"-T",
"FastaAlternateReferenceMaker",
"-o",
new_fasta,
"--variant",
fixed_vcf,
]
)
# Fix the fasta
log.info("Fixing gatk fasta")
# If you change this name, you need to change the alternate fastas list as well.
final_fasta = sample + ".fa"
helpers.fasta_fix(input_f=new_fasta, output_f=final_fasta)
# Delete the unfixed version
os.remove(new_fasta)
log.info("Moving new fasta to: " + join(mglobals.alternate_path, sample))
shutil.move(final_fasta, join(mglobals.alternate_path, sample))
log.info("Indexing new fasta")
os.chdir(join(mglobals.alternate_path, sample))
helpers.sub_call(["bowtie2-build", "-f", final_fasta, sample])
def pileup_call(sample, ref_fasta):
if mglobals.original:
os.chdir(join(mglobals.original_path, sample))
else:
os.chdir(join(mglobals.alternate_path, sample))
log.info('mpileup: creating .mpileup file for {} with ref fasta: {}'.format(sample, ref_fasta))
pileup_command = ['nice', '-n', '5',
'samtools', 'mpileup',
'-B',
'-d10000000',
'-f', ref_fasta,
join((sample + '_thout'), 'filter.bam')]
output_file = sample + out_file_extension
with open(output_file, 'w') as output_file:
helpers.sub_call(pileup_command, stdout=output_file)
log.info('mpileup: finished for {} with ref fasta: {}'.format(sample, ref_fasta))
def pileup_call(sample, ref_fasta):
if mglobals.original:
os.chdir(join(mglobals.original_path, sample))
else:
os.chdir(join(mglobals.alternate_path, sample))
log.info('mpileup: creating .mpileup file for {} with ref fasta: {}'.format(sample, ref_fasta))
pileup_command = ['nice', '-n', '5',
'samtools', 'mpileup',
'-B',
'-d10000000',
'-f', ref_fasta,
join((sample + '_thout'), 'filter.bam')]
output_file = sample + out_file_extension
with open(output_file, 'w') as output_file:
helpers.sub_call(pileup_command, stdout=output_file)
log.info('mpileup: finished for {} with ref fasta: {}'.format(sample, ref_fasta))
def tophat_call(sample, ref_fasta):
if mglobals.original:
os.chdir(join(mglobals.original_path, sample))
else:
os.chdir(join(mglobals.alternate_path, sample))
ref_fasta_base = ref_fasta.split(".")[0]
mismatches = "5"
number_of_samples = len(mglobals.samples_list)
threads_per_sample = mglobals.cpu_count // number_of_samples
threads = str(threads_per_sample)
log.info("threads per sample " + threads)
log.info("tophat: aligning sample {} with ref fasta {}".format(sample, ref_fasta))
tophat_params = [
"nice",
"-n",
"5",
"tophat",
"-p",
threads,
"-G",
mglobals.dros_gtf,
"--transcriptome-index=../transcriptome_data/known",
"-N",
mismatches,
"--b2-L",
"20",
"--b2-N",
"1",
"--read-edit-dist",
mismatches,
"-o",
(sample + "_thout"),
"--no-novel-juncs",
ref_fasta_base,
join(mglobals.samples_path, (sample + ".fastq")),
]
helpers.sub_call(tophat_params)
log.info("tophat: finished analyzing sample: {} with ref fasta: {}".format(sample, ref_fasta))
def trim_call(sample):
log.info('Trimming sample {}'.format(sample))
trimmed_path = join(mglobals.trimmed_path, sample)
p_trim_R1 = trimmed_path + '_trim_R1.fastq'
u_trim_R1 = trimmed_path + '_u_trim_R1.fastq'
p_trim_R2 = trimmed_path + '_trim_R2.fastq'
u_trim_R2 = trimmed_path + '_u_trim_R2.fastq'
if os.path.exists(p_trim_R1) and os.path.exists(p_trim_R2):
log.info('Sample already trimmed, linking from trimmed_path')
# Need the try block because will fail if link already exists
try:
os.symlink(p_trim_R1, os.path.basename(p_trim_R1))
os.symlink(p_trim_R2, os.path.basename(p_trim_R2))
except OSError:
pass
else:
threads = str(mglobals.cpu_count//10) # This optimal for ~40 samples but would
# probably crash with a higher number.
log.info('Sample not already trimmed, trimming now')
trim_params = (['nice', '-n', '5',
'java', '-jar', mglobals.trimmomatic_path,
'PE',
'-threads', threads,
'-phred33',
sample + '_R1.fastq',
sample + '_R2.fastq',
p_trim_R1,
u_trim_R1,
p_trim_R2,
u_trim_R2,
'SLIDINGWINDOW:4:20',
'TRAILING:20',
'MINLEN:50'])
helpers.sub_call(trim_params)
log.info('Finished trimming sample {}, linking in.'.format(sample))
os.symlink(p_trim_R1, os.path.basename(p_trim_R1))
os.symlink(p_trim_R2, os.path.basename(p_trim_R2))
def filter_call(sample):
if mglobals.original:
os.chdir(join(mglobals.original_path, sample))
else:
os.chdir(join(mglobals.alternate_path, sample))
log.info('Filtering {0} by coverage'.format(sample))
helpers.filter_vcf_by_coverage_cutoffs(vcf=(sample + in_file_extension),
cutoff_table=mglobals.coverage_cutoffs)
log.info('Filtering {0} according to SNP file: {1}'.format(sample, mglobals.current_snp_file))
dgrp_intersect_command = ['nice', '-n', '5',
'intersectBed',
'-a', (sample + '_covfil.vcf'), # the output of the helper
# function above.
'-b', mglobals.current_snp_file,
'-wa'
]
sample_dgrp_intersect = sample + out_file_extension
with open(sample_dgrp_intersect, 'w') as out:
helpers.sub_call(dgrp_intersect_command, stdout=out)
def annotate_call(sample):
if mglobals.original:
os.chdir(join(mglobals.original_path, sample))
else:
os.chdir(join(mglobals.alternate_path, sample))
log.info("Annotating " + sample + in_file_extension + " with " + mglobals.current_genes_file)
gtf_intersect_command = [
"nice",
"-n",
"5",
"intersectBed",
"-a",
(sample + in_file_extension),
"-b",
mglobals.current_genes_file,
"-wa",
"-wb",
]
sample_gtf_intersect = sample + out_file_extension
with open(sample_gtf_intersect, "w") as out:
helpers.sub_call(gtf_intersect_command, stdout=out)
def build_fastas_call(sample):
os.chdir(join(mglobals.original_path, sample))
log.info('Beginning to build alternate fasta for: ' + sample)
fixed_vcf = sample + '_fix.vcf'
log.info('Removing duplicated annotations (per transcript annotations)')
helpers.remove_dups(input_f=(sample + in_file_extension),
output_f=(sample + '.temp'))
log.info('Removing duplicate alleles and adding header')
# The fact that the original vcf was named sample.vcf is hardcoded
# here. Be careful.
helpers.vcf_fix(template_f=(sample + '.vcf'),
input_f=(sample + '.temp'),
output_f=fixed_vcf)
# Delete temporary file
os.remove(sample + '.temp')
log.info('Creating alternate fasta')
new_fasta = sample + '_unfixed.fa'
helpers.sub_call(['nice', '-n', '5',
'java', '-Xmx2g', '-jar',
mglobals.gatk_path,
'-R', 'genome.fa',
'-T', 'FastaAlternateReferenceMaker',
'-o', new_fasta,
'--variant', fixed_vcf])
# Fix the fasta
log.info('Fixing gatk fasta')
# If you change this name, you need to change the alternate fastas list as well.
final_fasta = sample + '.fa'
helpers.fasta_fix(input_f=new_fasta, output_f=final_fasta)
# Delete the unfixed version
os.remove(new_fasta)
log.info('Moving new fasta to: ' + join(mglobals.alternate_path, sample))
shutil.move(final_fasta, join(mglobals.alternate_path, sample))
log.info('Indexing new fasta')
os.chdir(join(mglobals.alternate_path, sample))
helpers.sub_call(['bowtie2-build',
'-f', final_fasta,
sample])
def build_fastas_call(sample):
os.chdir(join(mglobals.original_path, sample))
log.info('Beginning to build alternate fasta for: ' + sample)
fixed_vcf = sample + '_fix.vcf'
log.info('Removing duplicated annotations (per transcript annotations)')
helpers.remove_dups(input_f=(sample + in_file_extension),
output_f=(sample + '.temp'))
log.info('Removing duplicate alleles and adding header')
# The fact that the original vcf was named sample.vcf is hardcoded
# here. Be careful.
helpers.vcf_fix(template_f=(sample + '.vcf'),
input_f=(sample + '.temp'),
output_f=fixed_vcf)
# Delete temporary file
os.remove(sample + '.temp')
log.info('Creating alternate fasta')
new_fasta = sample + '_unfixed.fa'
helpers.sub_call(['nice', '-n', '5',
'java', '-Xmx2g', '-jar',
mglobals.gatk_path,
'-R', 'genome.fa',
'-T', 'FastaAlternateReferenceMaker',
'-o', new_fasta,
'--variant', fixed_vcf])
# Fix the fasta
log.info('Fixing gatk fasta')
# If you change this name, you need to change the alternate fastas list as well.
final_fasta = sample + '.fa'
helpers.fasta_fix(input_f=new_fasta, output_f=final_fasta)
# Delete the unfixed version
os.remove(new_fasta)
log.info('Moving new fasta to: ' + join(mglobals.alternate_path, sample))
shutil.move(final_fasta, join(mglobals.alternate_path, sample))
log.info('Indexing new fasta')
os.chdir(join(mglobals.alternate_path, sample))
helpers.sub_call(['bowtie2-build',
'-f', final_fasta,
sample])
def variant_calls_call(sample):
if mglobals.original:
os.chdir(join(mglobals.original_path, sample))
else:
os.chdir(join(mglobals.alternate_path, sample))
log.info('Varscan: creating csv for: ' + sample)
varscan_command = ['nice', '-n', '5',
'java', '-jar', mglobals.varscan_path,
'mpileup2snp',
(sample + in_file_extension),
'--min-coverage', '2',
'--min-avg-qual', '20',
'--strand-filter', '0',
'--p-value', '1',
'--min-var-freq', '1e-10',
'--output-vcf', '1',
]
output_file = sample + out_file_extension
with open(output_file, 'w') as out:
helpers.sub_call(varscan_command, stdout=out)
log.info('varscan finished for: ' + sample)
def pileup_call(sample, ref_fasta):
if mglobals.original:
os.chdir(join(mglobals.original_path, sample))
else:
os.chdir(join(mglobals.alternate_path, sample))
log.info("mpileup: creating .mpileup file for {} with ref fasta: {}".format(sample, ref_fasta))
pileup_command = [
"nice",
"-n",
"5",
"samtools",
"mpileup",
"-B",
"-d10000000",
"-f",
ref_fasta,
join((sample + "_thout"), "filter.bam"),
]
output_file = sample + out_file_extension
with open(output_file, "w") as output_file:
helpers.sub_call(pileup_command, stdout=output_file)
log.info("mpileup: finished for {} with ref fasta: {}".format(sample, ref_fasta))
