A review of connectivity map and computational approaches in pharmacogenomics

Aliyu Musa, Laleh Soltan Ghoraie, Shu-Dong Zhang, Galina Glazko, Olli Yli-Harja, Matthias Dehmer, Benjamin Haibe-Kains, Frank Emmert-Streib

Research output: Contribution to journalArticlepeer-review

156 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)506-523
Number of pages18
JournalBriefings in Bioinformatics
Issue number3
Publication statusPublished (in print/issue) - 1 May 2018


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