Deleted:Variant Analysis on MiSeq Data
0
0
Entering edit mode
9.1 years ago
gkuffel22 ▴ 100

Hi everyone,

I am trying to figure out the most efficient method to perform variant analysis on a large dataset. I have 200 samples and forward and reverse reads for a total of 400 fastq files. I was able to load all of these files into Galaxy and create a workflow that looks like this:

-fastQ Groomer-Trim-BWA-mem-flagstat-Generate pileup-Filter pileup

I have now realized that there is no way to loop through or automate my workflow on my fastq files. Is there a better way to do this other than running this workflow 200 times manually? Can create a script through the command line and use my fastq files as the input? If anyone has any suggestions or is aware of software to handle this type of job I would really appreciate your help.

galaxy • 1.7k views
ADD COMMENT
This thread is not open. No new answers may be added
Traffic: 2587 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6