Dr. Everett is a scientist in the US EPA Center for Computational Toxicology and Exposure (CCTE) with a wealth of expertise in bioinformatics, computer science, genomics, statistics, genetics, and molecular biology. His research at CCTE is focused on advancing the application of high-throughput transcriptomics in chemical screening. He received a B.S. in Computer Science from Binghamton University and a Ph.D. in Genomics and Computational Biology from the University of Pennsylvania, followed by extensive post-doctoral training in various applications of ‘omics data analysis. Prior to coming to the US EPA, Dr. Everett worked as a Senior Bioinformatics Scientist at Sciome, LLC where he helped support research under the National Toxicology Program.
Abstract for OpenTox Summer School 2023
Dose-Response Modeling for Determining Transcriptomic Reference Values
There is increasing interest in the application of dose-response modeling approaches to broad/non-targeted profiling data, such as transcriptomics, in order to derive mechanism-agnostic reference values for potentially hazardous chemicals. In this session, I will present an overview of existing approaches to dose-response modeling of transcriptomic and other high-dimensional data sources as well as possible regulatory use cases, including the recently proposed EPA Transcriptomics Assessment Product (ETAP, see https://www.epa.gov/bosc/epa-transcriptomic-assessment-products-etap-panel). A demonstration will then be presented with the widely used open-source platform BMDExpress. For those interested in getting a jump start, BMDExpress v2.3 can be downloaded here: https://github.com/auerbachs/BMDExpress-2/releases. This abstract does not necessarily reflect US EPA policy. Company or product names do not constitute endorsement by US EPA.
- Course material is available here: https://doi.org/10.23645/
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