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Fundamental and Computational Sciences Directorate

Staff information

Rob Egbert

Chemical Engineer
Pacific Northwest National Laboratory
PO Box 999
MSIN: J4-18
Richland, WA 99352

PNNL Publications

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

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