MEGSA statistics

info info

Citations per year

Number of citations per year for the bioinformatics software tool MEGSA
info

Tool usage distribution map

This map represents all the scientific publications referring to MEGSA per scientific context
info info

Associated diseases

info

Popular tool citations

chevron_left Driver mutation prioritization chevron_right
Want to access the full stats & trends on this tool?

MEGSA specifications

Information


Unique identifier OMICS_08312
Name MEGSA
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline Jianxin Shi

Publication for MEGSA

MEGSA citations

 (2)
library_books

A novel independence test for somatic alterations in cancer shows that biology drives mutual exclusivity but chance explains most co occurrence

2016
Genome Biol
PMCID: 5162102
PMID: 27986087
DOI: 10.1186/s13059-016-1114-x

[…] parison, we were interested in comparing the performance of the statistical tests only. We therefore evaluated the mutual exclusivity tests by applying them to preidentified groups of genes.For muex, MEGSA, and TiMEx, we used the R implementations provided with their respective publications. For CoMEt, we used a modified version of the official software implementation. Due to the computational com […]

library_books

Somatic Genomics and Clinical Features of Lung Adenocarcinoma: A Retrospective Study

2016
PLoS Med
PMCID: 5140047
PMID: 27923066
DOI: 10.1371/journal.pmed.1002162

[…] dies: TCGA, Broad Institute, and EAGLE, totaling 825 subjects. The analysis was performed for nonsynonymous mutations of 32 significantly mutated genes with mutation frequencies greater than 2% using MEGSA []. All reported p-values were adjusted for multiple comparison using 10,000 permutations. We identified four significant but overlapping MEGS, with EGFR included in three. The largest and most […]


Want to access the full list of citations?
MEGSA institution(s)
Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD, USA

MEGSA reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review MEGSA