Akhtari FS, Green AJ, Small GW, Havener TM, House JS, Roell KR, Reif DM, McLeod HL, Wiltshire T, Motsinger-Reif AA. High-throughput screening and genome-wide analyses of 44 anticancer drugs in the 1000 Genomes cell lines reveals an association of the NQO1 gene with the response of multiple anticance…
Blog posts
Ricardo Gonzalez wins Elliot Vesell Award for 2021 AACP!
Ricardo's has been selected as the Elliot S. Vesell Award Winner for the 2021 Virtual Annual Meeting of the American College of Clinical Pharmacology
Functional Follow-Up of GWAS Associated SNP Effects in tThe RYK and MKXAS1 Genes Associated with Drug Response Variation of Monotherapy Temozol…
Podcast on Biostatistics & Computational Biology in COVID-19
Alison Motsinger-Reif & David Reif were interviewed for the #COVIDcalls podcast.
https://covidcalls.podbean.com/e/ep-315-biostatistics-computational-biology-in-covid-19-hosted-by-kim-fortun/
Adrian presents at International Society for Computational Biology conference
Adrian presented "LEVERAGING HIGH-THROUGHPUT SCREENING DATA, DEEP NEURAL NETWORKS, AND CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS TO ADVANCE PREDICTIVE TOXICOLOGY" at ISMB/ISCB 2021.
https://www.iscb.org/ismbeccb2021
Using ToxPi to visualize baseball
In a very creative analysis, Benjamin Detringer and Stephen Detringer used ToxPi as a visual analytic for baseball statistics!
As new and complicated baseball statistics have proliferated, the authors used ToxPi to synthesize complex MLB player performance metrics into summary graphics and stati…
David named to U.S. EPA Science Advisory Committee on Chemicals (SACC)
David Reif was named to the U.S. Environmental Protection Agency (EPA) Science Advisory Committee on Chemicals (SACC) for a four-year term by Administrator Michael Regan. The Science Advisory Committee on Chemicals provides independent scientific advice, information and recommendations to the EPA Of…
Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology (2021) PLoS Comput Biol
Green AJ, Mohlenkamp MJ, Das J, Chaudhari M, Truong L, Tanguay RL, et al. (2021) Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology. PLoS Comput Biol 17(7): e1009135. https://doi.org/10.1371/journal.pcbi.1…
David interviewed by ABC11 News for story on pandemic community vulnerability
David Reif was interviewed by ABC11 News for the story "How do vaccines impact an area's risk for COVID-19?"
https://abc11.com/health/how-do-vaccines-impact-an-areas-risk-for-covid-19-/10821276/
David a panelist at SOT Risk Assessment Specialty Section seminar
RASS Webinar: Syllabus - Introduction to Human Health Risk Assessment
https://www.toxicology.org/groups/ss/RASS/downloads.asp
Concurrent evaluation of mortality and behavioral responses: A fast and efficient testing approach for high-throughput chemical hazard identification (2021) Frontiers in Toxicology
Thunga P, Truong L, Tanguay RL, Reif DM. Concurrent evaluation of mortality and behavioral responses: A fast and efficient testing approach for high-throughput chemical hazard identification. Frontiers in Toxicology. 2021.
10.3389/ftox.2021.670496
Extending the lymphoblastoid cell line model for drug combination pharmacogenomics (2021) Pharmacogenomics
Green AJ, Anchang B, Akhtari FS, Reif DM, Motsinger-Reif A. Extending the lymphoblastoid cell line model for drug combination pharmacogenomics. Pharmacogenomics. 2021 May 28. doi: 10.2217/pgs-2020-0160. Epub ahead of print. PMID: 34044623.
https://pubmed.ncbi.nlm.nih.gov/34044623/
Multiomic Big Data Analysis Challenges: Increasing Confidence in the Interpretation of Artificial Intelligence Assessments (2021) Analytical Chemistry
Odenkirk MT, Reif DM, Baker ES. Multiomic Big Data Analysis Challenges: Increasing Confidence in the Interpretation of Artificial Intelligence Assessments. Anal Chem. 2021 May 24. doi: 10.1021/acs.analchem.0c04850. Epub ahead of print. PMID: 34029068.
Preethi earns her Master's degree in Functional Genomics
Preethi Thunga completed her Master's degree in Functional Genomics. This degree is en route, meaning that she completed the extra degree requirements while continuing to wwwork toward a PhD in Bioinformatics.
Uncovering Evidence for Endocrine-Disrupting Chemicals That Elicit Differential Susceptibility through Gene-Environment Interactions (2021) Toxics
Wallis DJ, Truong L, La Du J, Tanguay RL, Reif DM. Uncovering Evidence for Endocrine-Disrupting Chemicals That Elicit Differential Susceptibility through Gene-Environment Interactions. Toxics. 2021; 9(4):77. https://doi.org/10.3390/toxics9040077
Abstract
Exposure to endocrine-disrupting che…
Preethi part of winning 'Pack Hacks' team
The team of Preethi Thunga, Kuncheng Song, and Caizi Huang won the Pack Hacks competition with this entry that built an interactive dashboard for estimating + comparing student debt:
https://devpost.com/software/student-loan-dashboard
Adrian elected postdoctoral representative to the Computational Toxicology Study Section of SOT
Adrian Green was elected as the 2021-22 postdoctoral representative to the Computational Toxicology Study Section of the Society of Toxicology (SOT).
Nnamdi wins Best Poster award at 2021 Genomic Sciences Symposium!
Nnamdi Osakwe won the "Best Poster" award at the 2021 Genomic Science Symposium for his presentation entitled: "Building Comprehensive Models of Environmental Integrity"
Preethi wins Best Presentation award at the 2021 Genomic Science Symposium!
Preethi Thunga won the Best Presentation award at the 2021 Genomic Sciences Symposium for her lightning talk (oral) presentation entitled: "High-throughput chemical hazard identification using behavioral assessments in zebrafish"
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