Connecting Omics Signatures of Diseases, Drugs, and Mechanisms of Actions with iLINCS

Fig 3. Proteo-genomics analysis of cancer driver events in breast cancer. A) Most differentially expressed proteins in the proteomics signatures constructed by comparing RPPA profiles of Her2E and Luminal A BRC samples; B) Gene expression profile of the genes corresponding to proteins in A) based on RNA-seq data; C) Top 100 CP signatures most connected with the transcriptional signature constructed by comparing RNA-seq profiles of Her2E and Luminal A samples; D) Selected chemical perturbagens and their targets for CP signatures in C).

Connecting Omics Signatures of Diseases, Drugs, and Mechanisms of…

iLINCS (http://ilincs.org) is an integrative web-based platform for analysis of omics data and signatures of cellular perturbations. The portal facilitates analysis of user-submitted omics signatures of diseases and cellular perturbations in the context of a large compendium of pre-computed signatures (>200,000), as well as mining and re-analysis of the large collection of omics datasets (>10,000), pre-computed signatures and their connections. Analytics workflows driven by user-friendly interfaces enable users with only conceptual understanding of the analysis strategy to execute sophisticated analyses of omics signatures, such as systems biology analysis and interpretation of signatures, mechanism of action analysis and signature-driven drug re-positioning. iLINCS workflows integrate a range of analytics and interactive visualization tools into a comprehensive platform for analysis of omics signatures. There are only few platforms that integrate multiple omics data types, bioinformatics tools, and interfaces for integrative analyses and visualization that do not require any computer programming skills. Among them, iLINCS is unique in terms of the scope and versatility of the data it provides and the analytics it facilitates.

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Marcin Pilarczyk, Mehdi Fazel Najafabadi, Michal Kouril, Juozas Vasiliauskas, Wen Niu, Behrouz Shamsaei, Naim Mahi, Lixia Zhang, Nicholas Clark, Yan Ren, Shana White, Rashid Karim, Huan Xu, Jacek Biesiada, Mark F. Bennet, Sarah Davidson, John F. Reichard, Vasileios Stathias, Amar Koleti, Dusica Vidovic, Daniel J.B. Clark, Stephan Schurer, Avi Ma’ayan, Jarek Meller, Mario Medvedovic Connecting omics signatures of diseases, drugs, and mechanisms of actions with iLINCS bioRxiv 826271; doi: https://doi.org/10.1101/826271