Use when working with GraphST for spatial transcriptomics analysis, including spatial domain clustering, multi-sample integration, and scRNA-to-spatial deconvolution. Trigger on "GraphST", "spatial tr
Use with AI
Install the MCP server or CLI to instantly fetch GraphST documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/graphst
IsoSeq — PacBio official full-length isoform sequencing pipeline for generating high-quality, full-length cDNA transcripts from PacBio SMRT/HiFi reads. Converts raw CCS reads through primer removal (l
2 shared topics • 1 shared operation
SEACells — single-cell metacell identification using kernel archetypal analysis. Aggregates highly similar single cells into metacells that preserve transcriptional and epigenomic heterogeneity while
2 shared topics • 1 shared operation
Seurat — comprehensive R toolkit for single-cell genomics enabling QC, normalization (LogNormalize, SCTransform), feature selection, dimensionality reduction (PCA, UMAP, t-SNE), graph-based clustering
2 shared topics • 1 shared operation
STARmap (Spatially-resolved Transcript Amplicon Readout mapping) — in situ spatial transcriptomics method that combines hydrogel-tissue chemistry with sequencing-by-hybridization (SEDAL) for multiplex
2 shared topics • 1 shared operation
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 • 1 shared operation