Journal
BIOINFORMATICS
Volume 33, Issue 4, Pages 618-620Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btw680
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Motivation: Large high-throughput screening (HTS) efforts are widely used in drug development and chemical toxicity screening. Wide use and integration of these data can benefit from an efficient, transparent and reproducible data pipeline. Summary: The tcpl R package and its associated MySQL database provide a generalized platform for efficiently storing, normalizing and doseresponse modeling of large high-throughput and high-content chemical screening data. The novel dose-response modeling algorithm has been tested against millions of diverse dose-response series, and robustly fits data with outliers and cytotoxicity-related signal loss.
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