# HG changeset patch # User morinlab # Date 1480551857 18000 # Node ID 9f683a7ac990923390a1319240a9ed5ffdcb40ca Uploaded diff -r 000000000000 -r 9f683a7ac990 gistic.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/gistic.xml Wed Nov 30 19:24:17 2016 -0500 @@ -0,0 +1,131 @@ + + + The GISTIC module identifies regions of the genome that are significantly amplified or deleted across a set of samples. + + gistic + GISTIC_SCRIPT_PATH + GISTIC_DIR + + + + + + + + + > results/sig_regions.bed ; + cp results/sig_regions.bed $sig_regions; + rm -f results/*.mat; + ]]> + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +The GISTIC module identifies regions of the genome that are significantly amplified or deleted across a set of samples. Each aberration is assigned a G-score that considers the amplitude of the aberration as well as the frequency of its occurrence across samples. False Discovery Rate q-values are then calculated for the aberrant regions, and regions with q-values below a user-defined threshold are considered significant. For each significant region, a “peak region” is identified, which is the part of the aberrant region with greatest amplitude and frequency of alteration. In addition, a “wide peak” is determined using a leave-one-out algorithm to allow for errors in the boundaries in a single sample. The “wide peak” boundaries are more robust for identifying the most likely gene targets in the region. Each significantly aberrant region is also tested to determine whether it results primarily from broad events (longer than half a chromosome arm), focal events, or significant levels of both. The GISTIC module reports the genomic locations and calculated q-values for the aberrant regions. It identifies the samples that exhibit each significant amplification or deletion, and it lists genes found in each “wide peak” region. + + + + + @article {Albuquerque089631, + author = {Albuquerque, Marco A and Grande, Bruno M and Ritch, Elie and Jessa, Selin and Krzywinski, Martin I and Grewal, Jasleen and Shah, Sohrab and Boutros, Paul and Morin, Ryan}, + title = {Enhancing Knowledge Discovery from Cancer Genomics Data with Galaxy}, + year = {2016}, + doi = {10.1101/089631}, + publisher = {Cold Spring Harbor Labs Journals}, + URL = {http://biorxiv.org/content/early/2016/11/26/089631}, + eprint = {http://biorxiv.org/content/early/2016/11/26/089631.full.pdf}, + journal = {bioRxiv} + } + + + + @article{ + goecks2010galaxy, + title={Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences}, + author={Goecks, Jeremy and Nekrutenko, Anton and Taylor, James and others}, + journal={Genome Biol}, + volume={11}, + number={8}, + pages={R86}, + year={2010} + } + + + + + @article{ + Schumacher2011gistic, + title={GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers}, + author={Mermel, Craig H and Schumacher, Steven E and Hill, Barbara and Meyerson, Matthew L and Beroukhim, Rameem and Getz, Gad}, + journal={Genome Biol}, + volume={12}, + number={4}, + pages={R41}, + year={2011} + } + + +