Broad WARP pipelines are a collection of open-source, cloud-optimized pipelines for processing biological data. They are written in WDL and are designed to be run on the Terra platform.
Use with AI
Install the MCP server or CLI to instantly fetch Broad WARP Pipelines documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/broad-warp-pipelines
Zarr — chunked, compressed N-dimensional array storage for large numerical datasets in bioinformatics and scientific computing. Supports cloud-native storage (S3, GCS, Azure), parallel read/write, and
2 shared topics • 1 shared operation
liger (rliger) -- R package for integrative non-negative matrix factorization (iNMF) of single-cell multi-omic data. Integrates scRNA-seq, scATAC-seq, spatial transcriptomics, and methylation datasets
2 shared topics
Seurat — comprehensive R toolkit for single-cell genomics enabling QC, normalization (LogNormalize, SCTransform), feature selection, dimensionality reduction (PCA, UMAP, t-SNE), graph-based clustering
2 shared topics
STARmap (Spatially-resolved Transcript Amplicon Readout mapping) — in situ spatial transcriptomics method that combines hydrogel-tissue chemistry with sequencing-by-hybridization (SEDAL) for multiplex
2 shared topics
stLearn — spatial transcriptomics analysis in Python integrating gene expression with tissue morphology. Provides SME (spatial morphological gene expression) normalization, spatial clustering, spatial
2 shared topics