A review of connectivity map and computational approaches in pharmacogenomics
Research output: Contribution to journal › Article › Scientific › peer-review
|Number of pages||18|
|Journal||Briefings in Bioinformatics|
|Publication status||Published - 1 May 2018|
|Publication type||A1 Journal article-refereed|
Large-scale perturbation databases, such as ConnectivityMap (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.