title: Evaluating real-life high-throughput screening data.
abstract: High-throughput screening (HTS) is the result of a concerted effort of chemistry, biology, information technology, and engineering. Many factors beyond the biology of the assay influence the quality and outcome of the screening process, yet data analysis and quality control are often focused on the analysis of a limited set of control wells and the calculated values derived from these wells. Taking into account the large number of variables and the amount of data generated, multiple views of the screening data are necessary to guarantee quality and validity of HTS results. This article does not aim to give an exhaustive outlook on HTS data analysis but tries to illustrate the shortfalls of a reductionist approach focused on control wells and give examples for further analysis.
authors.affiliation: Automated Screening Technologies, Pfizer Global Research and Development, Sandwich, UK.
authors.forename: Philip
authors.initials: P
authors.lastname: Gribbon
authors.forename: Richard
authors.initials: R
authors.lastname: Lyons
authors.forename: Philip
authors.initials: P
authors.lastname: Laflin
authors.forename: Joe
authors.initials: J
authors.lastname: Bradley
authors.forename: Chris
authors.initials: C
authors.lastname: Chambers
authors.forename: Bruce S
authors.initials: BS
authors.lastname: Williams
authors.forename: Wilma
authors.initials: W
authors.lastname: Keighley
authors.forename: Andreas
authors.initials: A
authors.lastname: Sewing
mesh_terms: D001681:Biological Assay / Q000379:methods* / Q000592:standards*; D004353:Drug Evaluation, Preclinical / Q000379:methods / Q000592:standards; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013050:Spectrometry, Fluorescence; D013223:Statistics as Topic / Q000379:methods* / Q000592:standards*