Comments (2)
ntanmayee
commented on August 23, 2024
Potential solution --
Re-implement countReadsPerBin.py and pass includeLabels=False to mapReduce. This should return the chromosome, start and end which will help in sorting the multiprocessing output.
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ntanmayee
commented on August 23, 2024
The previous solution does not work. This is the new strategy
- Read in
chrom_sizes.bedfile to get chromosome names and lengths - Call
count_reads_in_regioninstead ofrun. This is still run with multiprocessing, but the results are ordered - Concatenate resulting coverage arrays
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Related Issues (20)
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