genome music mutation-relation
NAME
genome music mutation-relation - Identify relationships of mutation concurrency or mutual exclusivity in genes across cases.
VERSION
This document describes genome music mutation-relation version 0.0401 (2014-02-13 at 08:01:08)
SYNOPSIS
genome music mutation-relation --bam-list=? --maf-file=? --output-file=? [--mutation-matrix-file=?] [--permutations=?] [--gene-list=?] [--skip-non-coding] [--skip-silent]
... music mutation-relation \ --maf-file /path/myMAF.tsv \ --permutations 1000 \ --output-file /path/mutation_relation.csv
REQUIRED ARGUMENTS
- bam-list Text
-
Tab delimited list of BAM files [sample_name, normal_bam, tumor_bam] (See Description)
- maf-file Text
-
List of mutations in MAF format
- output-file Text
-
Results of mutation-relation tool
OPTIONAL ARGUMENTS
- mutation-matrix-file Text
-
Optionally store the sample-vs-gene matrix used during calculations.
- permutations Number
-
Number of permutations used to determine P-values
Default value '100' if not specified
- gene-list Text
-
List of genes to test, typically SMGs. If unspecified, all genes in MAF are tested.
- skip-non-coding Boolean
-
Skip non-coding mutations from the provided MAF file
Default value 'true' if not specified
- noskip-non-coding Boolean
-
Make skip-non-coding 'false'
- skip-silent Boolean
-
Skip silent mutations from the provided MAF file
Default value 'true' if not specified
- noskip-silent Boolean
-
Make skip-silent 'false'
DESCRIPTION
This module parses a list of mutations in MAF format and attempts to determine relationships among mutated genes. It employs a correlation test to see whether or not any two genes are mutated concurrently (positive correlation) or mutually exclusively (negative correlation). Because of the possibility of largely varying numbers of mutations present in different genes, P-values are calculated using restricted permutations that take into account the distribution of mutation counts among the samples. In the output file, 'pand' is the P-value for concurrent mutation events, and 'pexc' is the P-value for mutually exclusive mutation events.
ARGUMENTS
AUTHORS
Nathan D. Dees, Ph.D. Qunyuan Zhang, Ph.D.