Man page - genome-music(1)
Packages contains this manual
apt-get install libgenome-model-tools-music-perl
Manual
GENOME-MUSIC
genome musicNAME
VERSION
SYNOPSIS
DESCRIPTION
LICENSE
AUTHORS
CREDITS
BUGS
SEE ALSO
genome music
NAME
genome music - Mutational Significance in Cancer (Cancer Mutation Analysis)
VERSION
This document describes genome music version 0.04 (2020-11-06 at 21:54:23)
SYNOPSIS
genome music ...
DESCRIPTION
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:
|
β’ |
Do not use headers |
||
|
β’ |
4 columns, which are [chromosome start-position(1-based) stop-position(1-based) gene_name] |
4. Clinical Data Files:
|
β’ |
Headers are required |
||
|
β’ |
At least 1 sample_id column and 1 attribute column, with the format being [sample_id clinical_data_attribute clinical_data_attribute ...] |
||
|
β’ |
The sample_id must match the sample_id listed in the MAF under "Tumor_Sample_Barcode" for relating the mutations of this sample. |
||
|
β’ |
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.
LICENSE
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.
AUTHORS
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.
CREDITS
The MuSiC suite uses tabix, by Heng Li. See http://samtools.sourceforge.net/tabix.shtml.
MuSiC depends on copies of data from the following databases, packaged in a form useable for quick analysis:
* KEGG -
http://www.genome.jp/kegg/
* COSMIC - http://www.sanger.ac.uk/genetics/CGP/cosmic/
* OMIM - http://www.ncbi.nlm.nih.gov/omim
* Pfam - http://pfam.sanger.ac.uk/
* SMART - http://smart.embl-heidelberg.de/
* SUPERFAMILY - http://supfam.cs.bris.ac.uk/SUPERFAMILY/
* PatternScan - http://www.expasy.ch/prosite/
BUGS
For defects with
any software in the genome namespace, contact
genome-dev ΛatΛ genome.wustl.edu.
SEE ALSO
genome (1)