Provided by: libgenome-model-tools-music-perl_0.04-4_all bug

gmt music survival


       gmt music survival - Create survival plots and P-values for clinical and mutational


       This document describes gmt music survival version 0.04 (2018-07-05 at 09:17:13)


       gmt music survival --bam-list=? --output-dir=? [--maf-file=?] [--skip-silent]
       [--genetic-data-type=?] [--numeric-clinical-data-file=?]
       [--categorical-clinical-data-file=?] [--glm-clinical-data-file=?]
       [--phenotypes-to-include=?] [--legend-placement=?] [--skip-non-coding]

        ... music survival \
               --bam-list /path/myBamList.tsv \
               --maf-file /path/myMAF.tsv \
               --numeric-clinical-data-file /path/myNumericData.tsv \
               --categorical-clinical-data-file /path/myClassData.tsv \
               --output-dir /path/output_directory

        ... music survival \
               --bam-list /path/myBamList.tsv \
               --maf-file /path/myMAF.tsv \
               --glm-clinical-data-file /path/myGLMClinicalData.tsv \
               --output-dir /path/output_directory

        ... music survival \
               --bam-list /path/myBamList.tsv \
               --maf-file /path/myMAF.tsv \
               --genetic-data-type 'gene' \
               --glm-clinical-data-file /path/myGlmClinicalData.tsv \
               --phenotypes-to-include 'Race,Gender,TP53' \
               --output-dir /path/output_directory


       bam-list  Text
           List of sample names to be included in the analysis. (See Description)

       output-dir  Text
           Directory where output files will be written


       maf-file  Text
           List of mutations in MAF format

       skip-silent  Boolean
           Skip silent mutations from the provided MAF file

           Default value 'true' if not specified

       noskip-silent  Boolean
           Make skip-silent 'false'

       genetic-data-type  Text
           Correlate clinical data to "gene" or "variant" level data

           Default value 'gene' if not specified

       numeric-clinical-data-file  Text
           Table of samples (y) vs. numeric clinical data category (x)

       categorical-clinical-data-file  Text
           Table of samples (y) vs. categorical clinical data category (x)

       glm-clinical-data-file  Text
           Clinical traits, mutational profiles, other mixed clinical data (See DESCRIPTION).

       phenotypes-to-include  Text
           Include only these genes and/or phenotypes in the anlaysis. (COMMA-DELIMITED)

       legend-placement  Text
           Choose one of 'bottomleft', 'topleft', 'topright', or 'bottomright'.

           Default value 'bottomleft' if not specified

       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'


       This command performs survival analysis and plots survival curves for mutational data, as
       well as any clinical traits of interest as specified via the --phenotypes-to-include input
       parameter. The analyses performed include the Kaplan-Meier estimator followed by the Cox
       Proportional Hazards model. Outputs for each gene/clinical trait analyzed include survival
       curves, a hazard ratio (with confidence intervals), and P-values and FDRs describing the
       significance of the difference between survivors and non-survivors.

       All clinical data files are searched for the required (case insensitive) "vital_status"
       and "days_to_last_followup" columns which are paired to phenotypes via sample IDs for the
       survival analysis. The first column of all clinical data files MUST contain the sample
       IDs, same as in other MuSiC tools. By default, analysis is performed on every gene present
       in the MAF. Optionally, the analysis may be limited to only specific genes by listing them
       (comma delimited) after the --phenotypes-to-include input parameter. Survival analysis may
       also be performed on other columns in the clinical data file by adding the column headers
       to the list of entries specified after the --phenotypes-to-include input parameter.

       Here are some general guildelines for creating clinical data input files:

       ·   Headers are required.

       ·   The first column of each clinical data file must contain sample IDs which match those
           in both the --bam-list and the MAF variant list (in the MAF, this is the
           Tumor_Sample_Barcode column, specifically).

       ·   In at least one of the clinical data files input, columns with headers "vital_status"
           and "days_to_last_followup" (case insensitive) must exist. "vital_status" must be
           delineated by 1's and 0's, where 0 denotes 'living', and 1 denotes 'deceased'.

       Note that all input files must be tab-separated.


           Provide a file containing sample names and normal/tumor BAM locations for each. Use
           the tab- delimited format [sample_name normal_bam tumor_bam] per line. This tool only
           needs sample_name, so all other columns can be skipped. The sample_name must be the
           same as the tumor sample names used in the MAF file (16th column, with the header


       Copyright (C) 2010-2011 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.


        Nathan D. Dees, Ph.D.
        Qunyuan Zhang, Ph.D.


       genome-music(1), genome(1)