Scroll to navigation

GENOME-MUSIC(1p) User Contributed Perl Documentation GENOME-MUSIC(1p)

genome music


genome music - Mutational Significance in Cancer (Cancer Mutation Analysis)


This document describes genome music version 0.04 (2020-11-06 at 21:54:23)


genome music ...


The MuSiC suite is a set of tools aimed at discovering the significance of somatic mutations found within a given cohort of cancer samples, and with respect to a variety of external data sources. The standard inputs required are:

1. mapped reads in BAM format
2. predicted or validated SNVs or indels in mutation annotation format (MAF)
3. a list of regions of interest (typically the boundaries of coding exons)
4. any relevant numeric or categorical clinical data.

The formats for inputs 3. and 4. are:

3. Regions of Interest File:
  • Do not use headers
  • 4 columns, which are [chromosome start-position(1-based) stop-position(1-based) gene_name]
4. Clinical Data Files:
  • Headers are required
  • At least 1 sample_id column and 1 attribute column, with the format being [sample_id clinical_data_attribute clinical_data_attribute ...]
  • The sample_id must match the sample_id listed in the MAF under "Tumor_Sample_Barcode" for relating the mutations of this sample.
  • The header for each clinical_data_attribute will appear in the output file to denote relationships with the mutation data from the MAF.

Descriptions for the usage of each tool (each sub-command) can be found separately.

The play command runs all of the sub-commands serially on a selected input set.


Copyright (C) 2007-2011 Washington University in St. Louis.

It is released under the Lesser GNU Public License (LGPL) version 3. See the associated LICENSE file in this distribution.


This software is developed by the analysis and engineering teams at The Genome Institute at Washington University School of Medicine in St. Louis, with funding from the National Human Genome Research Institute. Richard K. Wilson, P.I.

The primary authors of the MuSiC suite are:

 Nathan D. Dees, Ph.D.
 Cyriac Kandoth, Ph.D.
 Dan Koboldt, M.S.
 William Schierding, M.S.
 Michael Wendl, Ph.D.
 Qunyuan Zhang, Ph.D.
 Thomas B. Mooney, M.S.


The MuSiC suite uses tabix, by Heng Li. See

MuSiC depends on copies of data from the following databases, packaged in a form useable for quick analysis:

 * KEGG -
 * OMIM -
 * Pfam -
 * SMART -
 * PatternScan -


For defects with any software in the genome namespace, contact
genome-dev ~at~



2020-11-06 perl v5.30.3