菜单
Find differentially expressed marker genes per cluster, visualize them, score gene sets/cell cycle, and manually annotate cell types. Supports Scanpy (Python) and Seurat (R).
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 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.
| name | bioskills-markers-annotation |
| description | Find differentially expressed marker genes per cluster, visualize them, score gene sets/cell cycle, and manually annotate cell types. Supports Scanpy (Python) and Seurat (R). |
| domain | single-cell |
| primary_tool | scanpy |
| methods | ["scanpy","seurat","rank_genes_groups","FindAllMarkers","wilcoxon","score_genes","AddModuleScore","CellCycleScoring"] |
| macro_tags | ["markers","annotation","differential-expression","cell-type","gene-scoring"] |
| micro_tags | ["scanpy","seurat","rank_genes_groups","FindAllMarkers","wilcoxon","score_genes","AddModuleScore","CellCycleScoring","rank-genes","differential-expression","filtering","visualization","dotplot","heatmap","gene-scoring","cell-cycle","module-score","annotation","cell-type","manual-annotation","export","csv"] |
| source | bioskills-markers-annotation |
| status | active |
| enabled | true |
