bamCoverage not generating BigWig output file when using for loop

Hello!

I am trying to create multiple BigWig files from BAM files, and it seems like the loop is not giving an output file after converting. When ran with an individual file, this code works. However, the loop causes some issues that I cannot figure out.

Original code for single BAM file:

bamCoverage -b BAM_SRR11031277_mm10_sorted.bam \
-o BAM_SRR11031277_mm10_sorted.bw \
--binSize 20 \
--normalizeUsing BPM \
--smoothLength 60 \
--extendReads 150 \
--centerReads \
-p 6

Loop:

for (( c = 479; c = 480; c++ ))
do
bamCoverage -b BAM_SRR9049${c}_sorted.bam \
-o BAM_SRR9049${c}_sorted.bw \
--binSize 20 \
--normalizeUsing BPM \
--smoothLength 60 \
--extendReads 150 \
--centerReads \
-p 6
done

slurm output file (for an individual run in the loop)

normalization: BPM
bamFilesList: ['BAM_SRR9049528_sorted.bam']
binLength: 20
numberOfSamples: None
blackListFileName: None
skipZeroOverZero: False
bed_and_bin: False
genomeChunkSize: None
defaultFragmentLength: 150
numberOfProcessors: 6
verbose: False
region: None
bedFile: None
minMappingQuality: None
ignoreDuplicates: False
chrsToSkip: []
stepSize: 20
center_read: True
samFlag_include: None
samFlag_exclude: None
minFragmentLength: 0
maxFragmentLength: 0
zerosToNans: False
smoothLength: 60
save_data: False
out_file_for_raw_data: None
maxPairedFragmentLength: 600

Thank you in advance!

deeptools bamcoverage

• 2,647 views • link

written 4.5 years ago by connorjfausto •

2 answers

Your loop is probably not what you think. Try this and you will see your issue (infinite loop, hit control+C to escape from it):

for (( c = 479; c = 480; c++ ))
do
echo $c
done

You probably want something like this instead:

for (( c = 479; c <= 480; c++ ))
do
echo $c
done

• 0 views • link

written 4.5 years ago by Carlo Yague

Thank you! I missed that typo, good catch.

• 0 views • link

written 4.5 years ago by connorjfausto •

I cannot help posting a snakemake implementation...:

SRR = ['SRR9049479', 'SRR9049480']

rule all:
    input:
        expand('BAM_{srr}_sorted.bw', srr= SRR)


rule makeBam:
    output:
        bam= 'BAM_{srr}_sorted.bam',
    shell:
        r"""
        bwa mem ... > {output.bam}
        """

rule bamCoverage:
    input:
        bam= 'BAM_{srr}_sorted.bam',
    output:
        bw= 'BAM_{srr}_sorted.bw',
    shell:
        r"""
        bamCoverage -b {input.bam} \
            -o {output.bw} \
            --binSize 20 \
            --normalizeUsing BPM \
            --smoothLength 60 \
            --extendReads 150 \
            --centerReads \
            -p 6
        """

Save as Snakefile and execute it with "snakemake -p -j 1 --dry-run" (omit --dry-run to actually execute it)

• 0 views • link

written 4.5 years ago by dariober

I'm not very familiar with snakemake, what are the advantages of using this over for loops? I noticed you had to type the individual runs. My entire dataset has 60+ files, I was only using 2 to test it since I had errors.

• 0 views • link

written 4.5 years ago by connorjfausto •