I'm trying to use a column in a text file to conditionally execute rules in a snakemake workflow.
The text file is as follows:
id end sample_name fq1 fq2
a paired test_paired resources/SRR1945436_1.fastq.gz resources/SRR1945436_2.fastq.gz
b single test_single resources/SRR1945436.fastq.gz NA
For each sample in the text file, if value in end column is paired I would like to use rule cp_fastq_pe and if end is single then I would like to use rule cp_fastq_pe to process the fq1 & fq2 or just fq1 files, respectively.
relevant part of Snakefile is as follows:
import pandas as pd
samples = pd.read_table("config/samples.tsv").set_index("id", drop=False)
all_ids=list(samples["id"])
rule cp_fastq_pe:
"""
copy file to resources
"""
input:
fq1=lambda wildcards: samples.loc[wildcards.id, "fq1"],
fq2=lambda wildcards: samples.loc[wildcards.id, "fq2"]
output:
"resources/fq/{id}_1.fq.gz",
"resources/fq/{id}_2.fq.gz"
shell:
"""
cp {input.fq1} {output[0]}
cp {input.fq2} {output[1]}
"""
rule cp_fastq_se:
"""
copy file to resources
"""
input:
fq1=lambda wildcards: samples.loc[wildcards.id, "fq1"]
output:
"resources/fq/{id}.fq.gz",
shell:
"""
cp {input.fq1} {output}
"""
Is it possible to do this?