Tom Metz is a Principal Investigator within the Integrative Omics group at PNNL and the Metabolomics Team Lead for a group of scientists that focuses on development and applications of high throughput metabolomics and lipidomics methods to various biological questions. He has worked to develop state...

Michelle Davison is a microbiologist with a love of challenging, creative, and multidisciplinary projects. She is interested in the role phage play in environmental systems, as well as the myriad ways they can be harnessed as tools. She has experience isolating, developing and working with non-model...

Publications: 2018 Khan NE, Y Maezato, RS McClure, CJ Brislawn, JM Mobberley, NG Isern, WB Chrisler, LM Markillie, BM Barney, HS Song, WC Nelson, and HC Bernstein. 2018. "Phenotypic responses to interspecies competition and commensalism in a naturally-derived microbial co-culture." Scientific...

Chris received his Bachelor of Science degree in chemistry at the University of Colorado at Colorado Springs in 2005. He attained his PhD in chemistry at the University of Illinois at Urbana–Champaign in 2011, under Mary L. Kraft, where his graduate work focused on using secondary ion mass...

Biography Dr. Mary Lipton is currently a Staff Scientist at the Pacific Northwest National Laboratory and Adjunct Professor at Washington State University-Tri-Cities in Richland and Adjunct Professor in the Institute for Biological Chemistry and Washington State University Pullman. She is nationally...

PNNL Publications 2020 Smith J.N., K.J. Tyrrell, J.P. Smith, J.P. Smith, K.K. Weitz, and W.D. Faber. 2020. "Linking Internal Dosimetries of the Propyl Metabolic Series in Rats and Humans Using Physiologically Based Pharmacokinetic (PBPK) Modeling." Regulatory Toxicology and Pharmacology 110. PNNL...

Clinical Proteomic Tumor Analysis Consortium (CPTAC) ovarian cancer proteogenomics project. Characterization of tumors using proteomics and phosphoproteomics to identify signatures of drug resistance and characterize pathways associated with tumor versus normal tissue.

Coastal landscapes are increasingly exposed to seawater due to sea level rise and extreme weather events. The biogeochemical responses of these vulnerable ecosystems are poorly understood, limiting our ability to predict how their role in global biogeochemical cycles will shift under future...

Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson PNNL DataHub NIAID Program Project: Modeling Host Responses to Understand Severe Human Virus Infections, Multi-Omic Viral Dataset Catalog Collection Background The National Institute of Allergy and Infectious Diseases (NIAID) "Modeling Host...

OSU-PNNL Superfund Research Program Center is part of the Superfund Research Program (SRP) at Oregon State University, directed by Dr. Robyn Tanguay, bringing together a multidisciplinary team of experts with extensive experience in polycyclic aromatic hydrocarbons (PAHs) research. Using state-of...

PNNL’s Vision Statement for Equity in the Power Grid Drawing from a wealth of interdisciplinary research in grid modernization, PNNL is spearheading an effort to advance equity and energy justice through the role of scientific research with the goal of building an advanced national power grid...

Predictive Phenomics is addressing the grand challenge of understanding and predicting phenotype by identifying the molecular basis of function and enable function-driven design and control of biological systems .

Dr. Jason McDermott, senior research scientist, has extensive research experience in molecular and structural virology and data resource design, data integration and prediction of biological networks, bridging experimental and computational biology. Currently, his research interests include data...

Janet Jansson is Chief Scientist for Biology in the Biological Sciences Division and a Laboratory Fellow at the Pacific Northwest National Laboratory (PNNL). Jansson has more than 30 years of experience in microbial ecology. Jansson earned an M.S.in Soil Microbiology at Colorado State University...

Hyun Song’s research is directed toward developing modeling and computational tools for the simulation of cellular metabolism and microbial community dynamics. His research interest in metabolic modeling includes 1) omics data-guided estimation of flux distribution in a genome-scale metabolic...