header photo

Blog posts : "comptox"

David participates in the "From Free Radicals to Key Characteristics" workshop at UC Berkeley

The event brought together experts to celebrate the leadership of Prof. Martyn Smith in developing the "Key Characteristics of Human Carcinogens" and collaborate on future directions for the Key Characteristics approach.

https://www.eventbrite.com/e/from-free-radicals-to-key-characteristics-ticke…

Read more

Data Science educational toolkit presented at the Superfund DMAC Quarterly Meeting

The inTelligence And Machine lEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research

Kyle R. Roell, Lauren E. Koval, Rebecca Boyles, Grace Patlewicz, Caroline Ring, Cynthia Rider, Cavin Ward-Ca…

Read more

Nnamdi's work on using Bioinformatics to improve health equity featured in Superfund newsletter

https://tools.niehs.nih.gov/srp/1/eposted/pdfs/srp_e_posted_notes_2022_05_06_508.pdf

Leveraging a High-Throughput Screening Method to Identify Mechanisms of Individual Susceptibility Differences in a Genetically Diverse Zebrafish Model (2022) Frontiers in Toxicology

Dylan James Wallis, Jane La Du, Preethi Thunga, Daniel Elson, Lisa Truong, Siva Kumar Kolluri, Robyn Leigh Tanguay, David M Reif. Leveraging a High-Throughput Screening Method to Identify Mechanisms of Individual Susceptibility Differences in a Genetically Diverse Zebrafish Model. 29 April 2022. Fro…

Read more

Preethi presents at SOT

Preethi presented a poster at the Society of Toxicology (SOT) annual meeting in San Diego:

"Using zebrafish behavior to reveal gene-environment interactions underlying population susceptibility differences after chemical exposure"

Preethi Thunga, Lisa Truong, Yvonne Rericha, Warren Anderson, …

Read more

Adrian presents at SOT

Adrian Green presented a platform talk at the SOT session “Deep Learning and Graph Algorithms: New Approaches in Computational Toxicology”

Implementation of Zebrafish Ontologies for Toxicology Screening (2022) Frontiers in Toxicology

Anne E Thessen, Skylar Marvel, J. C. Achenbach, Stephan Fischer, Melissa Anne Haendel, Kimberly Hayward, Nils Klüver, Sarah Könemann, Jessica Legradi, Pamela J Lein, Connor Leong, Arantza Muriana, J. Erik Mylroie, Stephanie Padilla, Dante Perone, Antonio Planchart, Rafael Miñana Prieto, Celia Queved…

Read more

Systematic developmental toxicity assessment of a structurally diverse library of PFAS in zebrafish (2022) J Hazard Mater

Truong L, Rericha Y, Thunga P, Marvel S, Wallis D, Simonich MT, Field JA, Cao D, Reif DM, Tanguay RL. Systematic developmental toxicity assessment of a structurally diverse library of PFAS in zebrafish. J Hazard Mater. 2022 Mar 2;431:128615. doi: 10.1016/j.jhazmat.2022.128615. Epub ahead of print. P…

Read more

Utilizing Pine Needles to Temporally and Spatially Profile Per- and Polyfluoroalkyl Substances (2022) Environ Sci Technol.

Kirkwood KI, Fleming J, Nguyen H, Reif DM, Baker ES, Belcher SM. Utilizing Pine Needles to Temporally and Spatially Profile Per- and Polyfluoroalkyl Substances (PFAS). Environ Sci Technol. 2022 Feb 17. doi: 10.1021/acs.est.1c06483. Epub ahead of print. PMID: 35175744.

https://pubmed.ncbi.nlm.nih.…

Read more

Demonstrating a systems approach for integrating disparate data streams to inform decisions on children's environmental health (2022) BMC Public Health

Hubal EAC, DeLuca NM, Mullikin A, Slover R, Little JC, Reif DM. Demonstrating a systems approach for integrating disparate data streams to inform decisions on children's environmental health. BMC Public Health. 2022 Feb 15;22(1):313. doi: 10.1186/s12889-022-12682-3. PMID: 35168583; PMCID: PMC8845296…

Read more

The inTelligence And Machine lEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research

Professor Julia Rager led development of the the inTelligence And Machine lEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research. 

 

 

Read more

Adrian Green wins Postdoctoral Award from Computational Toxicology Special Section of SOT

Adrian Green won the Elsevier Postdoctoral Award from the Computational Toxicology Special Section (CTSS) of the Society of Toxicology (SOT)! 

Read more

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…

Read more

Adrian leads team to the Final Four of the EMGS Bioinformatics Challenge

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).

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" 

Read more

Farida's SOT abstract wins "Top 10" award from Computational Toxicology Speciality Section

Top 10 SOT-CTSS Abstract Awards Winner (Top 5% of all posters): F. Akhtari, G. Small, T. Havener, K. Roell, A. Green, J. House, D. Reif, H.McLeod, T. Wiltshire, A. Motsinger-Reif. High-throughput screening and genome-wide analyses of 44 anticancer drugs in the 1000 Genome cell lines reveals an assoc…

Read more

Adrian presents seminar at Coffee & Viz seminar series

https://www.lib.ncsu.edu/events/coffee-viz-visualization-and-pattern-recognition-high-dimensional-zebrafish-behavioral

 

Coffee & Viz: Visualization and Pattern Recognition in High-Dimensional Zebrafish Behavioral Studies using Deep Learning

Read more

David presents at UC Berkeley workshop on PFAS

David Reif presented as part of the UC Berkeley Superfund workshop on "The Problem of PFAS Contamination: How Can We Make Rapid Progress to Address it?"

David presented "Introduction to Grouping and Read-Across" with Gina Solomon (UCSF). He also chaired the session "Characterizing Toxicity – Usi…

Read more

Population-based toxicity screening in human induced pluripotent stem cell-derived cardiomyocytes (2019) Toxicol Appl Pharmacol

Burnett SD, Blanchette AD, Grimm FA, House JS, Reif DM, Wright FA, Chiu WA,
Rusyn I. Population-based toxicity screening in human induced pluripotent stem
cell-derived cardiomyocytes. Toxicol Appl Pharmacol. 2019 Aug 16;381:114711. doi:
10.1016/j.taap.2019.114711. [Epub ahead of print] PubMed P…

Read more

20 blog posts