TY - JOUR T1 - Connecting omics signatures of diseases, drugs, and mechanisms of actions with iLINCS JF - bioRxiv DO - 10.1101/826271 SP - 826271 AU - Marcin Pilarczyk AU - Mehdi Fazel Najafabadi AU - Michal Kouril AU - Juozas Vasiliauskas AU - Wen Niu AU - Behrouz Shamsaei AU - Naim Mahi AU - Lixia Zhang AU - Nicholas Clark AU - Yan Ren AU - Shana White AU - Rashid Karim AU - Huan Xu AU - Jacek Biesiada AU - Mark F. Bennet AU - Sarah Davidson AU - John F Reichard AU - Vasileios Stathias AU - Amar Koleti AU - Dusica Vidovic AU - Daniel J.B. Clark AU - Stephan Schurer AU - Avi Ma’ayan AU - Jarek Meller AU - Mario Medvedovic Y1 - 2019/01/01 UR - http://biorxiv.org/content/early/2019/10/31/826271.abstract N2 - 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. ER -