Loading homepage
velocyto.R skill for RNA velocity analysis in single-cell RNA-seq data. Use when users ask about velocyto.R, RNA velocity in R, deterministic velocity models, or working with .loom files containing sp
Use with AI
Install the MCP server or CLI to instantly fetch velocyto.R documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/velocytor
CytoTRACE -- computational method for predicting relative differentiation state of cells from single-cell RNA-seq data. Uses gene counts (number of detectably expressed genes per cell) as a robust pro
2 shared topics • 1 shared operation
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
2 shared topics • 1 shared operation
salmon — Fast, bias-aware transcript quantification from RNA-seq data using selective alignment to the transcriptome. Supports bulk RNA-seq (mapping-based and alignment-based modes), single-cell RNA-s
2 shared topics • 1 shared operation
Salmon is an ultrafast, bias-correcting tool for quantifying transcript abundances from RNA-seq reads using quasi-mapping or selective alignment. Alevin is Salmon's single-cell mode for generating cel
2 shared topics • 1 shared operation
Scrublet — Python toolkit for computational identification of cell doublets in single-cell RNA-seq data. Simulates synthetic doublets from observed transcriptomes and scores cells via k-nearest-neighb
2 shared topics • 1 shared operation