HTS-corrector: software for the statistical analysis and correction of experimental high-throughput screening data
HTS-corrector: software for the statistical analysis and correction of experimental high-throughput screening data
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DOI：
10.1093/bioinformatics/btl126
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发表时间：
2006-06-01
期刊：
影响因子：
5.8
通讯作者：
Nadon, Robert
中科院分区：
文献类型：
--
作者：
Makarenkov, Vladimir;Kevorkov, Dmytro;Nadon, Robert
动机：高通量筛选（HTS）在现代药物发现中发挥着核心作用，每次筛选可以测试> 100 000种化合物。我们工作的目的是开发和实施方法，以尽量减少系统误差在HTS数据分析中的影响。据我们所知，两个新的数据校正方法，包括在高温超导校正器是不可用的任何现有的商业软件或freeware.Results：本文介绍了高温超导校正器，软件应用程序的分析高温超导数据，检测和可视化的系统误差，以及相应的校正高温超导信号。HTS-校正器中包含了用于原始HTS数据的统计分析和校正的三种新方法：背景评估、井校正和hit-sigma分布程序，旨在最大限度地减少系统误差的影响。我们讨论了HTS校正器的主要特点，并证明了算法的好处。
Motivation: High-throughput screening (HTS) plays a central role in modern drug discovery, allowing for testing of > 100 000 compounds per screen. The aim of our work was to develop and implement methods for minimizing the impact of systematic error in the analysis of HTS data. To the best of our knowledge, two new data correction methods included in HTS-Corrector are not available in any existing commercial software or freeware.Results: This paper describes HTS-Corrector, a software application for the analysis of HTS data, detection and visualization of systematic error, and corresponding correction of HTS signals. Three new methods for the statistical analysis and correction of raw HTS data are included in HTS-Corrector: background evaluation, well correction and hit-sigma distribution procedures intended to minimize the impact of systematic errors. We discuss the main features of HTS-Corrector and demonstrate the benefits of the algorithms.