GenePattern is a powerful genomic analysis platform that provides access to more than 180 tools for gene expression analysis, proteomics, SNP analysis, flow cytometry, RNA-seq analysis, and common data processing tasks. A web-based interface provides easy access to these tools and allows the creation of multi-step analysis pipelines that enable reproducible in silico research.

Getting Started

quickstartLearn to use GenePattern in 10 minutes:
Learn hands-on with the Quick Start tutorial
Learn by watching short video tutorials
onlineRun analyses on the Broad public server
Use GenePattern to run analyses on a server at the Broad Institute.
download Download GenePattern
GenePattern runs on Windows, Mac, and Linux.

RNA-seq Suite

GenePattern now offers a suite of tools to support a wide variety of RNA-seq analyses, including short-read mapping, identification of splice junctions, transcript and isoform detection, quantitation, and differential expression. Please see the overview for more information.

Modules from Recent Publications

StrandSpecRNASeqEval by Levin et al. (Nature Methods, 2010)

Microsoft Word add-in for the GenePattern Reproducible Research Document (GRRD), by Mesirov (Science, 2010)

AuDIT by Abbatiello et al. (Clinical Chemistry, 2010)

FLAME by Pyne et al. (PNAS, 2009)

ESPPredictor by Fusaro et al. (Nature Biotechnology, 2009)
all modules...
 

What's New

Follow GenePattern: GenePattern on Twitter GenePattern on Facebook GenePattern RSS

GenePattern at ISMB 2012

GenePattern will be featured at the Bioinformatics Software Interoperability SIG at ISMB on July 13 in Long Beach, CA.

Citing GenePattern
Reich M, Liefeld T, Gould J, Lerner J, Tamayo P, Mesirov JP GenePattern 2.0 Nature Genetics 38 no. 5 (2006): pp500-501
more...

National Cancer Institute NIGMS

Funded by the National Cancer Institute and the National Institute of General Medical Sciences.

GenomeSpace GenePattern is participating in the GenomeSpace initiative.
 

caBig Member of the caBIG™ Molecular Analysis Tools Knowledge Center.

best practices award Winner of the Editor's Choice award for the 2005 BioIT World Best Practices competition.