tcpl: the ToxCast pipeline for high-throughput screening data 论文

2016Bioinformatics引用 225顶会
Computational Drug Discovery MethodsCell Image Analysis TechniquesStatistical Methods in Clinical Trials

详细信息

发表期刊/会议
Bioinformatics
发表日期
2016-10-25
发表年份
2016

关键词

Computational Drug Discovery MethodsCell Image Analysis TechniquesStatistical Methods in Clinical Trials

摘要

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 dose-response 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. Availability and Implementation: tcpl is freely available on the Comprehensive R Archive Network under the GPL-2 license. Contact: martin.matt@epa.gov.