Use when working with pertpy, the scverse framework for single-cell perturbation analysis in Python. Trigger this skill for Perturb-seq, CRISPR screen QC, perturbation signatures, Mixscape, Milo, Augu
Use with AI
Install the MCP server or CLI to instantly fetch pertpy documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/pertpy
DecontX — R/Bioconductor method in the celda package for estimating and removing ambient RNA contamination from droplet-based single-cell RNA-seq data. Uses a Bayesian Dirichlet mixture model over cel
1 shared topic • 1 shared operation
scater — Bioconductor single-cell RNA-seq QC and visualization toolkit built on SingleCellExperiment. Use when user needs per-cell QC metrics with addPerCellQCMetrics, adaptive MAD-based outlier detec
1 shared topic • 1 shared operation
scDblFinder — Bioconductor R package for detecting doublets in single-cell RNA-seq data using simulation-based classification with gradient boosting. Identifies neotypic and heterotypic doublets in dr
1 shared topic • 1 shared operation
Seurat — comprehensive R toolkit for single-cell genomics enabling QC, normalization (LogNormalize, SCTransform), feature selection, dimensionality reduction (PCA, UMAP, t-SNE), graph-based clustering
1 shared topic • 1 shared operation
Signac — R toolkit for single-cell chromatin accessibility analysis built on Seurat. Processes scATAC-seq data from 10x Genomics and other platforms. Handles fragment files, performs TF-IDF normalizat
1 shared topic • 1 shared operation