Challenges in secondary analysis of high throughput screening data

Aurora S. Blucher, Shannon K. McWeeney

Research output: Contribution to journalConference article

3 Scopus citations

Abstract

Repurposing an existing drug for an alternative use is not only a cost effective method of development, but also a faster process due to the drug's previous clinical testing and established pharmokinetic profiles. A potentially rich resource for computational drug repositioning approaches is publically available high throughput screening data, available in databases such as PubChem Bioassay and ChemBank. We examine statistical and computational considerations for secondary analysis of publicly available high throughput screening (HTS) data with respect to metadata, data quality, and completeness. We discuss developing methods and best practices that can help to ameliorate these issues.

Original languageEnglish (US)
Pages (from-to)114-124
Number of pages11
JournalPacific Symposium on Biocomputing
StatePublished - Jan 1 2014
Event19th Pacific Symposium on Biocomputing, PSB 2014 - Kohala Coast, United States
Duration: Jan 3 2014Jan 7 2014

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computational Theory and Mathematics

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