Discovering altered regulation and signaling through network-based integration of transcriptomic, epigenomic, and proteomic tumor data

© 2018, Springer Science+Business Media LLC. 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, b...

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Bibliographic Details
Main Authors: Kedaigle, AJ, Fraenkel, E
Format: Article
Language:English
Published: Springer New York 2021
Online Access:https://hdl.handle.net/1721.1/133259
Description
Summary:© 2018, Springer Science+Business Media LLC. 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.