Related Experiment Video
Updated: Mar 28, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
PharmacoGx: an R package for analysis of large pharmacogenomic datasets
Petr Smirnov1, Zhaleh Safikhani2, Nehme El-Hachem3
1Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Unlabelled:
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.
Availability And Implementation:
PharmacoGx is implemented in R and can be easily installed on any system. The package is available from CRAN and its source code is available from GitHub.
Contact:
bhaibeka@uhnresearch.ca or benjamin.haibe.kains@utoronto.ca
Supplementary Information:
Supplementary data are available at Bioinformatics online.
Related Concept Videos
Pharmacogenomics: Identification of New Drug Targets
Pharmacogenetics and Pharmacogenomics: Overview
Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu
Pharmacogenetics of Drug Metabolism: Overview
Analysis of Population Pharmacokinetic Data
Principles of Pharmacogenetics: Types of Genetic Variants

