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Workflow for paired or integrated single-cell RNA and ATAC analysis with multimodal latent spaces and regulatory interpretation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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 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.
| name | bioclaw-hub-multiome-scatac |
| description | Workflow for paired or integrated single-cell RNA and ATAC analysis with multimodal latent spaces and regulatory interpretation. |
| domain | single-cell |
| primary_tool | scanpy |
| methods | ["scanpy","anndata","scvi-tools"] |
| macro_tags | ["workflow","multiome","scatac","integration","regulatory"] |
| micro_tags | ["scanpy","anndata","scvi-tools","qc","rna-qc","atac-qc","filtering","feature-engineering","gene-activity","peak-matrix","harmonization","integration","multimodal","latent-space","multiVI","wnn","regulatory","motif","peak-to-gene","linkage","export","serialization","visualization","umap"] |
| source | bioclaw-hub-multiome-scatac |
| status | active |
| enabled | true |
