Performance-critical tools to manipulate, analyze, and process genomic interval data. Primarily focused on building tools for geniml - our genomic machine learning python package.
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Performance improvements for writing to .wig files #31
cargo run uniwig -f /yourbedfile/test.bed -m 5 -s 1 -l /home/drc/Downloads/ -y wig -t bed -c yourchrom.sizes -p 6
t = input type (bed or bam)
y= output type
m = step size
s = stepsize
f = input file
c = chrom.sizes file
p = num of threads to parallel process with, defaults to 6
At this time, you must provide a single, sorted bedfile.
Here is an example command to run:
t = input type (bed or bam) y= output type m = step size s = stepsize f = input file c = chrom.sizes file p = num of threads to parallel process with, defaults to 6
At this time, you must provide a single, sorted bedfile.
This addresses Issue #1