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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.

Ó³»­´«Ã½ 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.