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bioinformatics-singlecell

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Advanced single-cell multi-omics analysis including scRNA-seq, scCITE-seq, scATAC-seq, and TARGET-seq. Use when analyzing single-cell data, cell type identification, trajectory analysis, differential expression, UMAP/clustering, integrating protein and RNA modalities (TotalVI), or working with Scanpy, Seurat, scvi-tools.

When to use

• analyzing single-cell data
• cell type identification
• trajectory analysis
• differential expression
• UMAP/clustering
• integrating protein and RNA modalities (TotalVI)
• working with Scanpy, Seurat, scvi-tools
• MPN, hematologic malignancies, megakaryocyte biology

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