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Use when working with Dynamo, `dynamo-release`, or transcriptomic vector field analysis for single-cell RNA-seq, metabolic labeling, and multi-omics time-course data. Dynamo estimates RNA velocity wit
Use with AI
Install the MCP server or CLI to instantly fetch Dynamo documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/dynamo
alevin-fry — fast, accurate, and memory-frugal Rust-based tool for single-cell and single-nucleus RNA-seq quantification. Processes RAD (Reduced Alignment Data) files from salmon alevin to generate ce
2 shared topics • 1 shared operation
DRAGEN (Dynamic Read Analysis for GENomics) — Illumina's FPGA-accelerated bioinformatics platform for secondary analysis of next-generation sequencing data. Performs hardware-accelerated mapping, alig
2 shared topics • 1 shared operation
Loom — HDF5-based file format and Python library (loompy) for storing and accessing large single-cell RNA-seq datasets. Supports sparse/dense matrices, row attributes (genes/features), column attribut
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