PharmacoGx: An R package for analysis of large pharmacogenomic datasets

Petr Smirnov, Zhaleh Safikhani, Nehme El-Hachem, Dong Wang, Adrian She, Catharina Olsen, Mark Freeman, Heather Selby, Deena M.A. Gendoo, Patrick Grossmann, Andrew H. Beck, Hugo J.W.L. Aerts, Mathieu Lupien, Anna Goldenberg, Benjamin Haibe-Kains

Onderzoeksoutput: Article

86 Citaten (Scopus)

Samenvatting

Pharmacogenomics holds great promise for the development of biomarkers of drug response and the design of new therapeutic options, which are key challenges in precision medicine. However, such data are scattered and lack standards for efficient access and analysis, consequently preventing the realization of the full potential of pharmacogenomics. To address these issues, we implemented PharmacoGx, an easy-to-use, open source package for integrative analysis of multiple pharmacogenomic datasets. We demonstrate the utility of our package in comparing large drug sensitivity datasets, such as the Genomics of Drug Sensitivity in Cancer and the Cancer Cell Line Encyclopedia. Moreover, we show how to use our package to easily perform Connectivity Map analysis. With increasing availability of drug-related data, our package will open new avenues of research for meta-analysis of pharmacogenomic data.

Originele taal-2English
Pagina's (van-tot)1244-1246
Aantal pagina's3
TijdschriftBioinformatics
Volume32
Nummer van het tijdschrift8
DOI's
StatusPublished - 15 apr 2016

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