A review of connectivity map and computational approaches in pharmacogenomics. (9th January 2017)

• Record Type: Journal Article
• Authors: Musa, Aliyu; Ghoraie, Laleh Soltan; Zhang, Shu-Dong; Glazko, Galina; Yli-Harja, Olli; Dehmer, Matthias; Haibe-Kains, Benjamin; Emmert-Streib, Frank
• Is Part Of: Briefings in bioinformatics. Volume 19:Number 3(2018:May)
• Page Start: 506
• Page End: 523
• Publication Date: 2017-01-09
• Subjects: pharmacogenomics -- drug discovery -- bioinformatics -- drug repurposing -- drug repositioning -- big data; Genetics -- Data processing -- Periodicals; Molecular biology -- Data processing -- Periodicals; Genomes -- Data processing -- Periodicals; 572.80285
• DOI: 10.1093/bib/bbw112
• Languages: English
• ISSNs: 1467-5463

Abstract

Abstract: Large-scale perturbation databases, such as Connectivity Map (CMap) or Library of Integrated Network-based Cellular Signatures (LINCS), provide enormous opportunities for computational pharmacogenomics and drug design. A reason for this is that in contrast to classical pharmacology focusing at one target at a time, the transcriptomics profiles provided by CMap and LINCS open the door for systems biology approaches on the pathway and network level. In this article, we provide a review of recent developments in computational pharmacogenomics with respect to CMap and LINCS and related applications.