GEO Database — NCBI Gene Expression Omnibus public repository for high-throughput gene expression and functional genomics data. Contains 264,000+ series (GSE), 8M+ samples (GSM), 27,000+ platforms (GP
Use with AI
Install the MCP server or CLI to instantly fetch GEO Database documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/geo-database
DRIMSeq is a Bioconductor R package for Differential Transcript Usage (DTU) analysis using a Dirichlet-multinomial distribution to model transcript-level count proportions. Tests whether relative tran
2 shared topics • 1 shared operation
Use when working with stageR, the Bioconductor R package for stage-wise testing in RNA-seq transcriptomics. Covers two-stage testing workflows for differential expression (DESeq2/edgeR/limma-voom) and
2 shared topics • 1 shared operation
ComplexHeatmap — R/Bioconductor package for creating highly customizable heatmaps with complex annotations. Supports row/column splitting, multiple annotation tracks (bar, box, point, histogram), Onco
2 shared topics
STAR-Fusion — detects candidate fusion transcripts from RNA-seq data using STAR alignments and the FusionInspector validation framework. Integrates with CTAT genome resource libraries for comprehensiv
2 shared topics
stLearn — spatial transcriptomics analysis in Python integrating gene expression with tissue morphology. Provides SME (spatial morphological gene expression) normalization, spatial clustering, spatial
2 shared topics