Nature CommunicationsBioinformaticsPeer-reviewed journal article
Connecting omics signatures of diseases, drugs, and mechanisms of actions with iLINCS
Marcin PilarczykiD, Mehdi Fazel‐NajafabadiiD, Michal KouriliD, Behrouz ShamsaeiiD, Juozas Vasiliauskas, Wen NiuiD, Naim Al MahiiD, Lixia ZhangiD, Nicholas A. ClarkiD, Yan ReniD, Shana White, Rashid Saadman KarimiD, Huan XuiD, Jacek BiesiadaiD, Mark F. BennettiD, Sarah E. Davidson-FritziD, John F. ReichardiD, Kurt Roberts, Vasileios StathiasiD, Amar Koleti, Dušica VidovićiD, Daniel J. B. ClarkeiD, Stephan C. SchüreriD, Avi Ma’ayaniD, Jarek MelleriD, Mario MedvedoviciD
Abstract
There 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. Among these, iLINCS is unique in scope and versatility of the data provided and the analytics facilitated. iLINCS (http://ilincs.org) is an integrative web-based platform for analysis of omics data and signatures of cellular perturbations. The platform 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 (>12,000), 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 analyses and interpretation of signatures, mechanism of action analysis, and signature-driven drug repositioning. In summary, iLINCS workflows integrate vast omics data resources and a range of analytics and interactive visualization tools into a comprehensive platform for analysis of omics signatures.
- research focus: database / resource
- research focus: benchmarking
- research focus: software / tool
- approach: experimental assay
- Citations
- 156
- FWCI
- 8.49
- Field percentile
- top 1%
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