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Connecting omics signatures and revealing biological mechanisms with iLINCS.

Marcin PilarczykMehdi Fazel-NajafabadiMichal KourilBehrouz ShamsaeiJuozas VasiliauskasWen NiuNaim MahiLixia ZhangNicholas A ClarkYan RenShana WhiteRashid KarimHuan XuJacek BiesiadaMark F BennettSarah E DavidsonJohn F ReichardKurt RobertsVasileios StathiasAmar KoletiDusica VidovicDaniel J B ClarkeStephan C SchürerAvi Ma'ayanJaroslaw MellerMario Medvedovic
Published in: Nature communications (2022)
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. 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.
Keyphrases
  • single cell
  • genome wide
  • rna seq
  • high throughput
  • big data
  • electronic health record
  • coronavirus disease
  • cell proliferation
  • dna methylation
  • sars cov
  • machine learning
  • magnetic resonance
  • artificial intelligence