Welcome to HTS Corrector
Kevorkov D. and Makarenkov V. Statistical analysis
of systematic errors in high-throughput screening, Journal of Biomolecular Screening,
10: 557-567, 2005.
Kevorkov D. and Makarenkov V. Quality control
and data correction in high-throughput screening, Proceedings of SFC 2005,
pp. 159-163, Montreal, Canada.
Makarenkov V., Kevorkov D., Zentilli P., Gagarin A., Malo N. and Nadon R.
HTS-Corrector: software for the statistical analysis and correction of experimental
high-throughput screening data, Bioinformatics, 2006, 22: 1408 -
Andrei Gagarin, Vladimir Makarenkov, and Pablo Zentilli.
Using Clustering Techniques to Improve Hit Selection in High-Throughput Screening,
Journal of Biomolecular Screening, 2006 in press.
A. Gagarin, D. Kevorkov, V. Makarenkov, and P. Zentilli.
Comparison of two methods for detecting and correcting systematic error in high-throughput
screening data, Data Science and Classification, V. Batagelj, H.-H.
Bock, A. Ferligoj, and A. Ziberna (Eds.), 2006, Series: Studies in Classification,
Data Analysis, and Knowledge Organization, Springer, pp. 241-249.
High-throughput screening (HTS) is an early-stage process in drug discovery which
allows thousands of chemical compounds to be tested in a single study.
The aim of our work was to develop
and implement methods for minimizing the impact of systematic error in the analysis
of HTS data. HTS-Corrector is a software application for the analysis of HTS data,
detection and visualization of systematic error, corresponding correction of
HTS signals, and hit selection. New methods for the statistical analysis and correction of raw HTS
data are included in HTS-Corrector: background evaluation, well correction and hit
selection using clustering procedures.