Resources, services, and tools

Working with collaborators and contributors around the world, our scientists and engineers are accelerating discovery by:

  • assembling and harmonizing population-scale genomic and health data
  • generating massive, multi-omic biological datasets
  • developing advanced data processing and analysis methods
  • creating infrastructure for storing, sharing, and analyzing data at unlimited scale; and
  • building applications and portals that extract all available information from raw data.

Many additional tools, analysis pipelines, and applications developed by our scientists and collaborators are available on GitHub.

Analysis and visualization portal empowering the discovery of cancer vulnerabilities.

Cell image processing and analysis software designed for biologists.

Interactive analysis and exploration software for data from high-throughput, image-based experiments.

Aggregated genetic, epigenomic, and computational results for multiple metabolic diseases and traits.

Perturbation-based cancer cell line gene expression profiles and signatures generated using the L1000 assay.

Broad data scientists and software engineers have developed several portals and datasets to support COVID-19-related research.

A curated and annotated collection of FDA-approved drugs, clinical trial drugs, and pre-clinical tool compounds.

Integrated, annotated encyclopedia of functional and regulatory elements in the genome.

Industry standard for identifying SNPs and indels in germline DNA- and RNA-seq data.

Aggregated and harmonized exome and genome sequencing data from more than 60 population-scale sequencing projects.

A comprehensive public resource to study tissue-specific gene expression and regulation.

An open-source library for scalable data exploration and analysis, with a particular emphasis on genomics.

A high-performance, easy-to-use, interactive tool for the visual exploration of genomic data.

Rapid, high-throughput multiplexed compound screening in genomically characterized human cancer cell-line models.

Single-cell -omic datasets from >400 research studies, representing several species, organ systems, and disease areas.

Our primers and workshops help researchers learn about new technologies and advances in genetics, computation, and more.

A cloud-native platform for biomedical researchers to access data, run analysis tools, and collaborate.

Point mutation data from nearly 5,000 human cancers across 21 tumor types.

An archival list of tools and datasets

An archival list of tools and datasets is available here. NOTE: This list is no longer maintained.