| Statistical and graphical methods for quality control determination of high-throughput screening data |
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| Author(s): Gunter B, Brideau C, Pikounis B, Liaw A |
| Source: JOURNAL OF BIOMOLECULAR SCREENING Volume: 8 Issue: 6 Pages: 624-633 Published: DEC 2003 |
| Times Cited: 24 References: 4 |
| Abstract: High-throughput screening (HTS) is used in modem drug discovery to screen hundreds of thousands to millions of compounds on selected protein targets. It is an industrial-scale process relying on sophisticated automation and state-of-the-art detection technologies. Quality control (QC) is an integral part of the process and is used to ensure good quality data and minimize assay variability while maintaining assay sensitivity. The authors describe new QC methods and show numerous real examples from their biologist-friendly StatServer((R)) HTS application, a custom-developed software tool built from the commercially available S-PLUS(R) and StatServer((R)) statistical analysis and server software. This system remotely processes HTS data using powerful and sophisticated statistical methodology but insulates users from the technical details by outputting results in a variety of readily interpretable graphs and tables. It allows users to visualize HTS data and examine assay performance during the HTS campaign to quickly react to or avoid quality problems. |
| Document Type: Article |
| Language: English |
| Reprint Address: Gunter, B (reprint author), Merck Res Labs, Biometr Res Dept, Rahway, NJ 07065 USA |
Addresses:
1. Merck Res Labs, Biometr Res Dept, Rahway, NJ 07065 USA
2. Merck Frosst Ctr Therapeut Res, Dept Biochem & Mol Biol, Kirkland, PQ Canada |
| Publisher: SAGE PUBLICATIONS INC, 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA |
| Subject Category: Biochemical Research Methods; Biotechnology & Applied Microbiology; Chemistry, Analytical |
| IDS Number: 757BH |
| ISSN: 1087-0571 |
| DOI: 10.1177/1087057103258284 |