Analyze bioinformatics sample metadata to auto-detect data modality, column semantics, and sequencing platform from CSV/TSV files, SRA RunTables, GEO Series Matrix files, and AnnData .obs exports. Inf
Use with AI
Install the MCP server or CLI to instantly fetch Analyze Sample Metadata documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/analyze-sample-metadata
Aggregate bioinformatics analysis results from many samples and tools into a single report — supports 150+ tools including FastQC, STAR, HISAT2, and Samtools.
3 shared topics • 1 shared operation
Use when working with Rsubread, the Bioconductor R package for read alignment, exon junction discovery, feature counting, long-read mapping, annotation flattening, and alignment QC. Covers buildindex(
3 shared topics • 1 shared operation
nf-core/scrnaseq — Nextflow pipeline for single-cell RNA-seq quantification and preprocessing. Supports multiple alignment/quantification methods including Cell Ranger, STARsolo, Alevin-fry (Salmon),
2 shared topics • 2 shared operations
RASQUAL (Robust Allele Specific QUantification and quality controL) — joint QTL mapping tool that integrates total read counts and allele-specific reads for cis-regulatory variant discovery. Detects i
2 shared topics • 2 shared operations
Rcorrector — kmer-based error correction for RNA-seq reads. Corrects Illumina sequencing errors in FASTQ data using Jellyfish2 bloom filters and adaptive kmer frequency thresholds. Handles non-uniform
2 shared topics • 2 shared operations