LINCS Data Portal 2.0: next generation access point for perturbation-response signatures

Author:

Stathias Vasileios123,Turner John13,Koleti Amar23,Vidovic Dusica13,Cooper Daniel13,Fazel-Najafabadi Mehdi34,Pilarczyk Marcin34,Terryn Raymond1,Chung Caty35,Umeano Afoma1,Clarke Daniel J B36,Lachmann Alexander36,Evangelista John Erol36,Ma’ayan Avi36ORCID,Medvedovic Mario34ORCID,Schürer Stephan C1235ORCID

Affiliation:

1. Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, USA

2. Center for Computational Science, University of Miami, USA

3. BD2K-LINCS Data Coordination and Integration Center, USA

4. Laboratory for Statistical Genomics and Systems Biology, Division of Biostatistics and Bioinformatics, Department of Environmental Health, University of Cincinnati College of Medicine, USA

5. Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, USA

6. Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, USA

Abstract

Abstract The Library of Integrated Network-Based Cellular Signatures (LINCS) is an NIH Common Fund program with the goal of generating a large-scale and comprehensive catalogue of perturbation-response signatures by utilizing a diverse collection of perturbations across many model systems and assay types. The LINCS Data Portal (LDP) has been the primary access point for the compendium of LINCS data and has been widely utilized. Here, we report the first major update of LDP (http://lincsportal.ccs.miami.edu/signatures) with substantial changes in the data architecture and APIs, a completely redesigned user interface, and enhanced curated metadata annotations to support more advanced, intuitive and deeper querying, exploration and analysis capabilities. The cornerstone of this update has been the decision to reprocess all high-level LINCS datasets and make them accessible at the data point level enabling users to directly access and download any subset of signatures across the entire library independent from the originating source, project or assay. Access to the individual signatures also enables the newly implemented signature search functionality, which utilizes the iLINCS platform to identify conditions that mimic or reverse gene set queries. A newly designed query interface enables global metadata search with autosuggest across all annotations associated with perturbations, model systems, and signatures.

Funder

National Institutes of Health

National Heart, Lung, and Blood Institute

National Center for Advancing Translational Sciences

Publisher

Oxford University Press (OUP)

Subject

Genetics

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