Coordinate and integrate multiple omics datasets for comprehensive systems biology analysis. This skill orchestrates specialized ToolUniverse skills to perform cross-omics correlation, multi-omics clustering, pathway-level integration, and unified interpretation across molecular layers.
| Data Integration | Match samples across omics, handle missing data, normalize scales | | Cross-Omics Correlation | Correlate features across molecular layers (gene expression vs protein, methylation vs expression) | | Multi-Omics Clustering | MOFA+, NMF, joint clustering to identify omics-driven subtypes |
| Pathway Integration | Combine omics evidence at pathway level for unified biological interpretation | | Biomarker Discovery | Identify multi-omics signatures with improved predictive power | | Skill Coordination | Orchestrate RNA-seq, epigenomics, variant-analysis, protein-interactions, gene-enrichment skills |
集成和分析系统生物学和精准医学的多个组学数据集(转录组学、蛋白质组学、表观基因组学、基因组学、代谢组学)。执行跨组学关联、多组学聚类(MOFA+、NMF)、路径级集成和样本匹配。协调 ToolUniverse 表达数据 (RNA-seq)、表观基因组学(甲基化、ChIP-seq)、变异(SNV、CNV)、蛋白质相互作用和通路富集的技能。在分析多组学数据集、执行综合分析、发现多组学生物标志物、研究跨分子层的疾病机制或进行需要协调分析转录组、基因组、表观基因组、蛋白质组和代谢组数据的系统生物学研究时使用。 来源:mims-harvard/tooluniverse。