Robyn Tanguay brought several members of her lab to Raleigh for a scientific retreat with the Reif lab. These regular retreats have been great for developing new scientific ideas, polishing products from ongoing collaborations, and FUN!
Blog posts
David appointed to NAS Workshop Committee to Support EPA’s Development of Human Health Effects Assessments
David Reif has been provisionally appointed as a member of the National Academy of Sciences (NAS) Workshop Committee to Support EPA’s Development of Human Health Effects Assessments. One workshop will address advances in the application of artificial intelligence and open data practices in chemi…
Grant awarded to develop integrated synthesis of data generated across labs of the Nanotechnology Health Implications Research (NHIR) consortium
The Reif & Tanguay labs were awarded a $105,000 grant to develop an integrated model of data generated across labs of the Nanotechnology Health Implications Research (NHIR) consortium. This is a new award under the parent U01 "Multidimensional in vivo Assessments of Engineered Nanomaterials and Biol…
Final acceptance of SOT 2022 session “Deep Learning and Graph Algorithms: New Approaches in Computational Toxicology”
Adrian Green and David Reif partnered with colleagues Carolyn Ring (U.S. EPA), John Wambaugh (U.S. EPA), and Alicia Frame (Neo4j) to propose the SOT session “Deep Learning and Graph Algorithms: New Approaches in Computational Toxicology”. The session has been finally accepted with the following deta…
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 anticancer drugs (2021) PLoS Genetics
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…
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…
The assembly of the T5D zebrafish genome is annotated and browseable on the UCSC Genome Browser
The assembly of the T5D zebrafish genome (Robyn Tanguay's SARL) generated from work originally published in Balik-Meisner et al. (2018) EHP is now posted on the UCSC Genome Browser at: https://genome.ucsc.edu/cgi-bin/hgGateway?hgsid=1188472611_nj0P3fujyLPJBDKvH4WCncYUDE1b
We'd like to thank Dr.…
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…