def run_stringtie_expression(data):
"""
estimate expression from Stringtie, using the bcbio datadict
does not do transcriptome assembly
"""
bam = dd.get_work_bam(data)
gtf_file = dd.get_gtf_file(data)
num_cores = dd.get_num_cores(data)
sample_name = dd.get_sample_name(data)
out_dir = os.path.join("stringtie", sample_name)
isoform_fpkm = os.path.join(out_dir, sample_name + ".isoform.fpkm")
gene_fpkm = os.path.join(out_dir, sample_name + ".fpkm")
assembly = os.path.abspath(os.path.join(out_dir, "stringtie-assembly.gtf"))
if file_exists(isoform_fpkm) and file_exists(gene_fpkm):
data = dd.set_cufflinks_dir(data, out_dir)
data = dd.set_fpkm(data, gene_fpkm)
data = dd.set_fpkm_isoform(data, isoform_fpkm)
if "stringtie" in dd.get_transcript_assembler(data):
dd.get_assembled_gtf(data).append(assembly)
return data
with file_transaction(data, out_dir) as tx_out_dir:
transcript_file = _stringtie_expression(bam, gtf_file, num_cores,
tx_out_dir)
df = _parse_ballgown(transcript_file)
_write_fpkms(df, tx_out_dir, sample_name)
data = dd.set_cufflinks_dir(data, out_dir)
data = dd.set_fpkm(data, gene_fpkm)
data = dd.set_fpkm_isoform(data, isoform_fpkm)
if "stringtie" in dd.get_transcript_assembler(data):
dd.get_assembled_gtf(data).append(assembly)
return data
def run_stringtie_expression(data):
"""
estimate expression from Stringtie, using the bcbio datadict
does not do transcriptome assembly
"""
bam = dd.get_work_bam(data)
sample_name = dd.get_sample_name(data)
out_dir = os.path.join("stringtie", sample_name)
isoform_fpkm = os.path.join(out_dir, sample_name + ".isoform.fpkm")
gene_fpkm = os.path.join(out_dir, sample_name + ".fpkm")
assembly = os.path.abspath(os.path.join(out_dir, "stringtie-assembly.gtf"))
if file_exists(isoform_fpkm) and file_exists(gene_fpkm):
data = dd.set_cufflinks_dir(data, out_dir)
data = dd.set_fpkm(data, gene_fpkm)
data = dd.set_fpkm_isoform(data, isoform_fpkm)
if "stringtie" in dd.get_transcript_assembler(data):
dd.get_assembled_gtf(data).append(assembly)
return data
with file_transaction(data, out_dir) as tx_out_dir:
transcript_file = _stringtie_expression(bam, data, tx_out_dir)
df = _parse_ballgown(transcript_file)
_write_fpkms(df, tx_out_dir, sample_name)
data = dd.set_cufflinks_dir(data, out_dir)
data = dd.set_fpkm(data, gene_fpkm)
data = dd.set_fpkm_isoform(data, isoform_fpkm)
if "stringtie" in dd.get_transcript_assembler(data):
dd.get_assembled_gtf(data).append(assembly)
return data
def run_stringtie_expression(data):
"""
estimate expression from Stringtie, using the bcbio datadict
does not do transcriptome assembly
"""
bam = dd.get_work_bam(data)
gtf_file = dd.get_gtf_file(data)
num_cores = dd.get_num_cores(data)
sample_name = dd.get_sample_name(data)
out_dir = os.path.join("stringtie", sample_name)
isoform_fpkm = os.path.join(out_dir, sample_name + ".isoform.fpkm")
gene_fpkm = os.path.join(out_dir, sample_name + ".fpkm")
if file_exists(isoform_fpkm) and file_exists(gene_fpkm):
data = dd.set_cufflinks_dir(data, out_dir)
data = dd.set_fpkm(data, gene_fpkm)
data = dd.set_fpkm_isoform(data, isoform_fpkm)
return data
with file_transaction(data, out_dir) as tx_out_dir:
exon_file, transcript_file = _stringtie_expression(bam, gtf_file, num_cores, tx_out_dir)
df = _parse_ballgown(transcript_file)
_write_fpkms(df, tx_out_dir, sample_name)
data = dd.set_cufflinks_dir(data, out_dir)
data = dd.set_fpkm(data, gene_fpkm)
data = dd.set_fpkm_isoform(data, isoform_fpkm)
return data
def run_cufflinks(data):
"""Quantitate transcript expression with Cufflinks"""
work_bam = dd.get_work_bam(data)
ref_file = dd.get_sam_ref(data)
out_dir, fpkm_file, fpkm_isoform_file = cufflinks.run(work_bam, ref_file, data)
data = dd.set_cufflinks_dir(data, out_dir)
data = dd.set_fpkm(data, fpkm_file)
data = dd.set_fpkm_isoform(data, fpkm_isoform_file)
return [[data]]
def run_cufflinks(data):
"""Quantitate transcript expression with Cufflinks"""
work_bam = dd.get_work_bam(data)
ref_file = dd.get_sam_ref(data)
out_dir, fpkm_file, fpkm_isoform_file = cufflinks.run(work_bam, ref_file, data)
data = dd.set_cufflinks_dir(data, out_dir)
data = dd.set_fpkm(data, fpkm_file)
data = dd.set_fpkm_isoform(data, fpkm_isoform_file)
return [[data]]