comparison README @ 2:04e170c09922

Add a workflow for noraml tissue samples.
author Jim Johnson <jj@umn.edu>
date Fri, 12 Apr 2013 07:51:45 -0500
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1:6e49aa2461bd 2:04e170c09922
1 MMuFF: Missense Mutation and Frameshift Finder
2 analyzes Next Generation Sequencing (NGS) paired read RNA-seq output to reliably identify small frameshift mutations, as well as missense mutations, in highly expressed protein-coding genes. MMuFF ignores known SNPs, low quality reads, and poly-A/T sequences. For each frameshift and missense mutation identified MMuFF provides the location and sequence of the amino acid substitutions in the novel protein candidates for direct input into epitope evaluation tools.
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4 The parameter settings in the workflows are set for human samples.
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6 To execute MMuFF create a Galaxy history and upload the four input files:
7 1. tumor sample forward reads fastq
8 2. tumor sample reverse reads fastq
9 3. dbSNP VCF file
10 4. additional exclusions VCF
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12 Select Galaxy-Workflow-MMuFF_v1.2.ga to Run
13 Set input files for Galaxy-Workflow-MMuFF_v1.2.ga
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15 If you have reads from matched tumor/normal tissue samples,
16 run the Galaxy-Workflow-MMuFF_Human_germline_v1.2.ga on the noraml samples with inputs:
17 1. normal sample forward reads fastq
18 2. normal sample reverse reads fastq
19 3. dbSNP VCF file
20 and use the final VCF as input 4 "additional exclusions VCF" in the Galaxy-Workflow-MMuFF_v1.2.ga workflow.
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