Load BioMaster as one integrated skill-driven bioinformatics assistant.
BioMaster conversational bioinformatics assistant; starts workflows only after execution intent or empty activation.
Automated and marker-guided single-cell cell type annotation using CellTypist, marker review, reference transfer, and confidence-aware label curation.
Ligand-receptor communication inference in single-cell or spatial data with sender-receiver summaries and cautious interpretation.
Workflow for paired or integrated single-cell RNA and ATAC analysis with multimodal latent spaces and regulatory interpretation.
Workflow for spatial transcriptomics preprocessing, domain detection, deconvolution, neighborhood analysis, and publication-ready spatial maps.
Pseudotime, lineage branching, and state-transition analysis for single-cell data with coherent embeddings and annotations.
Standard scRNA-seq preprocessing and clustering with Scanpy: QC, filtering, normalization, HVG selection, PCA, neighbors, UMAP, and Leiden clustering, producing an analysis-ready AnnData object.