Scientists in the Broad community have developed many critical software tools for the analysis of increasingly large genome-related datasets, and they make these tools openly available to the scientific community. For the conditions governing the use of Broad Institute software, please see the software use agreement associated with the tools you choose to download.

Use our search function, browse the complete software collection or click on one of the software categories listed below:

  • Gene Set Enrichment Analysis

    GSEA is a computational method that determines if a given set of genes shows statistically significant differences between two biological states. It is useful for interpreting the results of gene expression studies.

  • GENE-E

    GENE-E is a matrix visualization and analysis platform designed to support visual data exploration. It includes heat map, clustering, filtering, charting, marker selection, and many other tools. In addition to supporting generic matrices, GENE-E also contains tools that are designed specifically for RNAi and gene expression data.

  • GenePattern

    GenePattern is a powerful genomic analysis platform that provides access to hundreds of 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..

  • ICBP Data & Analysis Portal

    The ICBP Data and Analysis Portal serves as an information hub of the ICBP program enabling resource sharing, annotation, and data integration and analysis. The portal provides access to datasets, analysis tools, visualizations, and other resources produced by the ICBP Centers for Cancer Systems Biology.

  • Multiple Myeloma Genomics Portal (MMGP)

    The Multiple Myeloma Genomics Portal (MMGP) provides access to and analysis of the MMGP portal data sets. These include the MMRC-funded reference collection of paired aCGH and gene expression data as well as several additional public multiple myeloma datasets.