Staff information

PNNL Publications

2025

• Gillett D.L., M. Selinidis, T. Seamons, D. George, A. Igwe, I. Del Valle, and R.G. Egbert, et al. 2025. "A roadmap to understanding and anticipating microbial gene transfer in soil communities." Microbiology and Molecular Biology Reviews 89, no. 2:e00225-24. PNNL-SA-206807. doi:10.1128/mmbr.00225-24

2023

• Chang C.H., W.C. Nelson, A.R. Jerger, A.T. Wright, R.G. Egbert, and J.E. McDermott. 2023. "Snekmer: A scalable pipeline for protein sequence fingerprinting based on amino acid recoding." Bioinformatics Advances 3, no. 1:Art. No. vbad005. PNNL-SA-169271. doi:10.1039/d2cc01517j
• Egbert R.G., J.R. Elmore, C.F. Gonzalez Rivera, K.E. Dorow, S.M. Akers, A.R. Frank, and A.J. Wilson, et al. 2023. Optimizing Cell-based Antimicrobials through Pooled Genomic Libraries. PNNL-34897. Richland, WA: Pacific Northwest National Laboratory. Optimizing Cell-based Antimicrobials through Pooled Genomic Libraries
• Elmore J.R., G.N. Dexter, H.J. Baldino, J. Huenemann, R.M. Francis, G. Peabody, and J. Martinez-Baird, et al. 2023. "High-throughput genetic engineering of non-model and undomesticated bacteria via iterative site-specific genome integration." Science Advances 9, no. 10:Art. No. eade1285. PNNL-SA-181397. doi:10.1126/sciadv.ade1285
• Jansson J.K., R.S. McClure, and R.G. Egbert. 2023. "Soil microbiome engineering for sustainability in a changing environment." Nature Biotechnology 41, no. 12:1716-1728. PNNL-SA-188763. doi:10.1038/s41587-023-01932-3

2022

• Krishnamoorthy S., A.K. Steiger, W.C. Nelson, R.G. Egbert, and A.T. Wright. 2022. "An activity-based probe targeting the streptococcal virulence factor C5a peptidase." Chemical Communications 58, no. 58:8113-8116. PNNL-SA-170832. doi:10.1039/d2cc01517j

2020

• Lee J., N.C. Sadler, R.G. Egbert, C.R. Anderton, K.S. Hofmockel, J.K. Jansson, and H. Song. 2020. "Deep Learning Prediction of Interspecies Interactions from Self-organized Spatiotemporal Patterns of Co-evolving Organisms." In AIChE Annual Meeting, Conference Proceedings, November 16-20, 2020, Virtual, Online, 2020, Paper No. 168750. New York, New York:American Institute of Chemical Engineers. PNNL-SA-158208.
• Lee J., N.C. Sadler, R.G. Egbert, C.R. Anderton, K.S. Hofmockel, J.K. Jansson, and H. Song. 2020. "Deep Learning Predicts Microbial Interactions from Self-organized Spatiotemporal Patterns." Computational and Structural Biotechnology Journal 18. PNNL-SA-150281. doi:10.1016/j.csbj.2020.05.023