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Hi @fg6 ,
I was trying to use subrand.py to match two read length distributions like you did in your paper https://pubmed.ncbi.nlm.nih.gov/28638050/
I used subrand.py -i target.fasta -x model.fasta but I keep getting the missing variable message.
Missing required variables ! Usage:
subrand.py -i <inputfile> -t <faqtype> -c <coverage> -r <refsize> -m <mean> -s <std> -x <compfile>
input file: fasta or fastq file of reads from which extract a subsample
faqtype: format of output file, fasta or fastq [fasta]
coverage: desired coverage for subsample
refsize: reference size or expected genome size needed to calculate coverage, in Mb
mean,std: mean and standard deviation of read lengths desired for subsample. If not defined, a uniform random selection of reads is performed
compfile: comparison file: fasta or fastq file of reads to compare with the subsample
I tried it with python 2.7 and 3.7, also tried providing some (-t fasta -c 30 -r 180) or all arguments and the missing variable warning persists. Do you have any tips to solve this?
Thanks
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