Use when working with Datashader for large-scale visualization, rasterizing point/line/polygon/mesh data to fixed-size grids, or building high-density scientific plots without overplotting. Covers `da
Use with AI
Install the MCP server or CLI to instantly fetch Datashader documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/datashader
ScreenProcessing — Python pipeline for analyzing pooled genetic screens (CRISPRi/CRISPRa). Converts raw FASTQ sequencing files into library counts using fastqgz_to_counts.py, then generates sgRNA phen
1 shared topic • 2 shared operations
scRepertoire -- R package for analyzing T cell receptor (TCR) and B cell receptor (BCR) repertoires from single-cell sequencing data. Integrates with Seurat and SingleCellExperiment objects to combine
1 shared topic • 2 shared operations
Poetry is the Python dependency management and packaging tool for creating reproducible projects with pyproject.toml and poetry.lock. Use this skill for dependency resolution, virtual environment isol
1 shared topic • 1 shared operation
scikit-allel — Python package for exploratory analysis of large-scale genetic variation data. Provides data structures for genotypes, haplotypes, and allele counts (GenotypeArray, HaplotypeArray, Alle
1 shared topic • 1 shared operation
TCGAbiolinks for searching, downloading, and analyzing cancer genomics data from the NCI Genomic Data Commons (GDC). Routes tasks for GDCquery/GDCdownload, data preparation with GDCprepare, differenti
1 shared topic • 1 shared operation