tximport -- R/Bioconductor package for importing transcript-level abundance, estimated counts, and transcript lengths from quantification tools (Salmon, Kallisto, RSEM, StringTie, Sailfish) and summar
Use with AI
Install the MCP server or CLI to instantly fetch tximport documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/tximport
PyDESeq2 — Python implementation of DESeq2 for differential gene expression analysis from bulk RNA-seq count data. Performs size factor normalization, genewise dispersion estimation, Wald tests with B
1 shared topic • 3 shared operations
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
1 shared topic • 2 shared operations
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
1 shared topic • 2 shared operations
sleuth — R package for differential expression analysis of RNA-seq data at the transcript level. Works with kallisto bootstrap quantifications to model technical variability using a response error mod
1 shared topic • 2 shared operations
sva — R/Bioconductor package for surrogate variable analysis, batch effect correction, and unwanted variation removal in high-throughput experiments. Provides sva() for estimating surrogate variables,
1 shared topic • 2 shared operations