Related Experiment Video
Updated: Feb 28, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
Published on: October 3, 2025
Methods to analyze big data in pharmacogenomics research
Ruowang Li1, Dokyoon Kim2, Marylyn D Ritchie1,2
1Bioinformatics & Genomics Graduate Program, The Pennsylvania State University, University Park, PA 16802, USA.
Abstract:
The scale and scope of pharmacogenomics research continues to expand as the cost and efficiency of molecular data generation techniques advance. These new technologies give rise to enormous opportunity for the identification of important genetic and genomic factors important for drug treatment response. With this opportunity come significant challenges. Most of these can be categorized as 'big data' issues, facing not only pharmacogenomics, but other fields in the life sciences as well. In this review, we describe some of the analysis techniques and tools being implemented for genetic/genomic discovery in pharmacogenomics.
Related Concept Videos
Pharmacogenetics and Pharmacogenomics: Overview
Pharmacogenomics: Identification of New Drug Targets
Analysis of Population Pharmacokinetic Data
Pharmacogenetics of Drug Metabolism: Overview
Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu
Principles of Pharmacogenetics: Types of Genetic Variants

