| Sign In to gain access to subscriptions and/or personal tools. |
Evaluating Real-Life High-Throughput Screening DataAutomated Screening Technologies, Pfizer Global Research and Development, Sandwich, UK
Nonclinical Statistics, Pfizer Global Research and Development, Sandwich, UK
Data Support and Management Pfizer Global Research and Development, Sandwich, UK
Automated Screening Technologies, Pfizer Global Research and Development, Sandwich, UK
Automated Screening Technologies, Pfizer Global Research and Development, Sandwich, UK
Data Support and Management Pfizer Global Research and Development, Sandwich, UK
Automated Screening Technologies, Pfizer Global Research and Development, Sandwich, UK
Automated Screening Technologies, Pfizer Global Research and Development, Sandwich, UK 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.
Key Words: high-throughput screening data analysis assay development biological screening
Journal of Biomolecular Screening, Vol. 10, No. 2,
99-107 (2005) This article has been cited by other articles:
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||


