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The new preprocessing pipeline uses deeptoolscountReadsPerBin class. This uses multiprocessing and is much faster than before.
However, the output from this is not sorted. This means that two runs of crpb.run() can give different results making the rest of the DecoDen pipeline wrong.
The text was updated successfully, but these errors were encountered:
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.
The new preprocessing pipeline uses
deeptools
countReadsPerBin
class. This uses multiprocessing and is much faster than before.However, the output from this is not sorted. This means that two runs of
crpb.run()
can give different results making the rest of the DecoDen pipeline wrong.The text was updated successfully, but these errors were encountered: