Methods to analyze big data in pharmacogenomics research

Ruowang Li, Dokyoon Kim, Marylyn Deriggi Ritchie

Research output: Contribution to journalReview article

2 Citations (Scopus)

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 1 2017

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Pharmacogenetics
Research
Biological Science Disciplines
Technology
Costs and Cost Analysis
Pharmaceutical Preparations

All Science Journal Classification (ASJC) codes

  • Molecular Medicine
  • Genetics
  • Pharmacology

Cite this

Li, Ruowang ; Kim, Dokyoon ; Ritchie, Marylyn Deriggi. / Methods to analyze big data in pharmacogenomics research. In: Pharmacogenomics. 2017 ; Vol. 18, No. 8.
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Methods to analyze big data in pharmacogenomics research. / Li, Ruowang; Kim, Dokyoon; Ritchie, Marylyn Deriggi.

In: Pharmacogenomics, Vol. 18, No. 8, 01.06.2017.

Research output: Contribution to journalReview article

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