Connecting omics signatures and revealing biological mechanisms with iLINCS

Author:

Pilarczyk MarcinORCID,Fazel-Najafabadi MehdiORCID,Kouril Michal,Shamsaei BehrouzORCID,Vasiliauskas Juozas,Niu Wen,Mahi Naim,Zhang LixiaORCID,Clark Nicholas A.ORCID,Ren Yan,White Shana,Karim RashidORCID,Xu Huan,Biesiada Jacek,Bennett Mark F.ORCID,Davidson Sarah E.,Reichard John F.,Roberts Kurt,Stathias Vasileios,Koleti Amar,Vidovic Dusica,Clarke Daniel J. B.,Schürer Stephan C.ORCID,Ma’ayan AviORCID,Meller JarekORCID,Medvedovic MarioORCID

Abstract

AbstractThere are only a few platforms that integrate multiple omics data types, bioinformatics tools, and interfaces for integrative analyses and visualization that do not require programming skills. Here we present iLINCS (http://ilincs.org), an integrative web-based platform for analysis of omics data and signatures of cellular perturbations. The platform facilitates mining and re-analysis of the large collection of omics datasets (>34,000), pre-computed signatures (>200,000), and their connections, as well as the analysis of user-submitted omics signatures of diseases and cellular perturbations. iLINCS analysis workflows integrate vast omics data resources and a range of analytics and interactive visualization tools into a comprehensive platform for analysis of omics signatures. iLINCS user-friendly interfaces enable execution of sophisticated analyses of omics signatures, mechanism of action analysis, and signature-driven drug repositioning. We illustrate the utility of iLINCS with three use cases involving analysis of cancer proteogenomic signatures, COVID 19 transcriptomic signatures and mTOR signaling.

Funder

U.S. Department of Health & Human Services | National Institutes of Health

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary

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