Process / pipelineBioinformatics / omics
多组学蛋白质组学分析 — 整合蛋白质组学
多组学蛋白质组学分析将质谱法获得的蛋白质丰度数据与至少一个额外的组学层面（如基因组学、转录组学或代谢组学）相结合，以构建生物调控的系统级视图。这种方法并非孤立地分析蛋白质，而是将蛋白质组学图谱与上游分子事件（例如，DNA变异、mRNA水平）和下游功能读数（例如，代谢物浓度）相关联，从而发现单组学分析可能遗漏的调控驱动因素。
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来源
- Rohart, F., Gautier, B., Singh, A., & Le Cao, K.-A. (2017). mixOmics: An R package for omics feature selection and multiple data integration. PLOS Computational Biology, 13(11), e1005752. DOI: 10.1371/journal.pcbi.1005752 ↗
- Singh, A., Shannon, C. P., Gautier, B., Rohart, F., Vacher, M., Tebbutt, S. J., & Le Cao, K.-A. (2019). DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays. Bioinformatics, 35(17), 3055–3062. DOI: 10.1093/bioinformatics/bty1054 ↗
如何引用本页
ScholarGate. (2026, June 3). Multi-Omics Integrative Proteomics Analysis. ScholarGate. https://scholargate.app/zh/bioinformatics/multi-omics-proteomics-analysis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 基因集富集分析 (GSEA)生物信息学↔ compare
- 代谢组学分析生物信息学↔ compare
- 多组学代谢组学分析生物信息学↔ compare
- 通路富集分析生物信息学↔ compare
- 蛋白质组学分析生物信息学↔ compare
- RNA-seq差异表达生物信息学↔ compare