Abstract
Publicly available bioassay data often contains errors. Curating massive bioassay data, especially high-throughput screening (HTS) data, for Quantitative Structure-Activity Relationship (QSAR) modeling requires the assistance of automated data curation tools. Using automated data curation tools are beneficial to users, especially ones without prior computer skills, because many platforms have been developed and optimized based on standardized requirements. As a result, the users do not need to extensively configure the curation tool prior to the application procedure. In this chapter, a freely available automatic tool to curate and prepare HTS data for QSAR modeling purposes will be described.
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Kim, M.T., Wang, W., Sedykh, A., Zhu, H. (2016). Curating and Preparing High-Throughput Screening Data for Quantitative Structure-Activity Relationship Modeling. In: Zhu, H., Xia, M. (eds) High-Throughput Screening Assays in Toxicology. Methods in Molecular Biology, vol 1473. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6346-1_17
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DOI: https://doi.org/10.1007/978-1-4939-6346-1_17
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Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-6344-7
Online ISBN: 978-1-4939-6346-1
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