SingleCellExperiment — core R/Bioconductor container class for single-cell genomics data. Stores assays (counts, logcounts, normalized), cell metadata (colData), gene metadata (rowData), dimensionalit
Use with AI
Install the MCP server or CLI to instantly fetch SingleCellExperiment documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/singlecellexperiment
WARP (WDL Analysis Research Pipelines) — Broad Institute's cloud-optimized collection of genomics pipelines written in WDL (Workflow Description Language). Covers whole-genome sequencing (WGS), whole-
2 shared topics • 2 shared operations
Geneformer — transformer-based foundation model pretrained on ~30 million single-cell transcriptomes for context-specific gene network analysis. Supports fine-tuning for cell type classification, gene
2 shared topics • 2 shared operations
Use when working with SnapHiC — a computational method for identifying chromatin loops from single-cell Hi-C data. SnapHiC processes sparse single-cell contact maps, normalizes for distance decay and
2 shared topics • 2 shared operations
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 • 2 shared operations
BERN2 (Biomedical Entity Recognition and Normalization 2) is a biomedical NLP tool for named entity recognition and normalization in free text and PubMed abstracts. Identifies and normalizes genes, di
1 shared topic • 3 shared operations