Discovering Altered Regulation and Signaling Through Network-based Integration of Transcriptomic, Epigenomic, and Proteomic Tumor Data
Discovering Altered Regulation and Signaling Through Network-based Integration of Transcriptomic, Epigenomic, and Proteomic Tumor Data
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DOI：
10.1007/978-1-4939-7493-1_2
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发表时间：
2018-01-01
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影响因子：
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通讯作者：
Fraenkel, Ernest
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作者：
Kedaigle, Amanda J.;Fraenkel, Ernest
随着可用生物学数据的急剧增加，生物学家和临床医生需要无偏见的数据整合工具，以便得出准确、简洁的结论。网络生物学为高通量数据集成提供了一种这样的方法，但它也有自己的一套算法问题和所需的专业知识。我们为使用组学集成器提供一步一步的指南，这是一个为转录组学、表观基因组学和蛋白质组学数据集成而设计的软件包。组学整合器可以在http://fraenkel.mit.edu/omicsintegrator上找到。
With the extraordinary rise in available biological data, biologists and clinicians need unbiased tools for data integration in order to reach accurate, succinct conclusions. Network biology provides one such method for high-throughput data integration, but comes with its own set of algorithmic problems and needed expertise. We provide a step-by-step guide for using Omics Integrator, a software package designed for the integration of transcriptomic, epigenomic, and proteomic data. Omics Integrator can be found at http://fraenkel.mit.edu/omicsintegrator.