Computational Research

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Groups and Facilities

(1 mention)

Center for Ag Synthetic Biology 
Unique automated platform for agricultural synthetic biology



Faculty 360 | John Munafo, 7/12/2017

Faculty 360 | Meg Staton, 2/24/2016


Recent Publications

KBase: the United States department of energy systems biology knowledgebase A. Arkin, P. Ranjan, et al.  2018.  Nature Biotechnology. [Abstract]

KBase: the United States department of energy systems biology knowledgebase Adam Arkin et al.  2018.  Nature Biotechnology. [Abstract]

Computational fluid dynamic modeling of catalytic hydrous pyrolysis of biomass to produce refinery-ready bio-crude oil.  Houston, R.  2018.  M.S. Thesis.

Determining a Geographic High Resolution Supply Chain Network for a Large Scale Biofuel Industry Lambert, L. H., B. C. English, D. M. Lambert, O. Shylo, J. A. Larson, T. E. Yu, and B. S. Wilson.  2018.  Applied Energy, 218: 266-281. [Abstract]

Web-based Computational Tools for Exploration, Analysis, and Visualization of Genomic Data.  M. Chen  2018.  Ph.D. Dissertation.

Identification of recombination hotspots throughout the soybean [Glycine max (L.) Merr.] genome.  McConaughy, S, G. Graef, K. Amundsen, Q. Song, V. R. Pantalone, and D. Hyten.  2018.  Molecular & Cellular Biology of the Soybean. [Abstract]

Computational Identification of Terpene Synthase Genes and Their Evolutionary Analysis.  Jia, Q  2016.  Ph.D. Dissertation.

Catalysis for conversion of biorefinery lignin to high value chemicals structural and computational analysis for improved catalyst design.  Bozell, J. J., T. Elder, B. Bionic, D. Cedeno, S. Chatterjee, K. Cheng, and C. Njiojob.  2015.  18th International Symposium on Wood, Fiber and Pulping Chemistry, BOKU, Vienna, Austria.

Computational fluid dynamics modelling of a bench-scale fluidized bed biomass gasifier.  Oluwafemi Oyedeji, and N. Abdoulmoumine.  2015.  2016 Annual International Meeting of the American Society of Agricultural and Biological Engineers. [Abstract]

Understanding substrate specificity of related plant methylesterases (MESs) from computational investigations.  Qian, P., N. Zhao, F. Chen, and H. Guo.  2015.  Chemical Journal of Chinese Universities., 36: 2283-2291.

Computational ranking of yerba mate small molecules based on their predicted contribution to antibacterial activity against methicillin-resistant Staphylococcus aureus.  Rempe, C. S., K. Burris, H. L. Woo, B. Goodrich, D. K. Gosnell, T. J. Tschaplinkski, and C. N. Stewart, Jr..  2015.  PLoS ONE.

Tripal: an open source toolkit for building genomic and genetic data websites and databases Ficklin, S., L. A. Sanderson, M. E. Staton, C. H. Cheng, S. Jung, K. Bett, and D. Main.  2014.  Bioinformatics Open Source Conference Proceedings, Bioinformatics Open Source Conference, July 11-12, 2014 Boston, Massachusetts. [Abstract]