Methods to analyze big data in pharmacogenomics research

Ruowang Li, Dokyoon Kim, Marylyn D. Ritchie

Research output: Contribution to journalReview article

2 Scopus citations

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.

Original languageEnglish (US)
JournalPharmacogenomics
Volume18
Issue number8
DOIs
StatePublished - Jun 2017

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All Science Journal Classification (ASJC) codes

  • Molecular Medicine
  • Genetics
  • Pharmacology

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