Hector G. Martin, Ph.D.

Affiliations: 
2004 University of Illinois, Urbana-Champaign, Urbana-Champaign, IL 
Area:
Condensed Matter Physics, Ecology Biology, Microbiology Biology
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"Hector Martin"
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Cross-listing: Evolution Tree

Parents

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Nigel D. Goldenfeld grad student 2004 UIUC
 (Statistical analysis of highly correlated systems in biology and physics.)
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Publications

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Roell GW, Carr RR, Campbell T, et al. (2019) A concerted systems biology analysis of phenol metabolism in Rhodococcus opacus PD630. Metabolic Engineering
Oyetunde T, Liu D, Martin HG, et al. (2019) Machine learning framework for assessment of microbial factory performance. Plos One. 14: e0210558
Oyetunde T, Bao FS, Chen JW, et al. (2018) Leveraging knowledge engineering and machine learning for microbial bio-manufacturing. Biotechnology Advances
Denby CM, Li RA, Vu VT, et al. (2018) Industrial brewing yeast engineered for the production of primary flavor determinants in hopped beer. Nature Communications. 9: 965
Birkel GW, Ghosh A, Kumar VS, et al. (2017) The JBEI quantitative metabolic modeling library (jQMM): a python library for modeling microbial metabolism. Bmc Bioinformatics. 18: 205
Hollinshead WD, Rodriguez S, Martin HG, et al. (2016) Examining Escherichia coli glycolytic pathways, catabolite repression, and metabolite channeling using Δpfk mutants. Biotechnology For Biofuels. 9: 212
Brunk E, George KW, Alonso-Gutierrez J, et al. (2016) Characterizing Strain Variation in Engineered E. coli Using a Multi-Omics-Based Workflow. Cell Systems
Ghosh A, Nilmeier J, Weaver D, et al. (2014) A peptide-based method for 13C Metabolic Flux Analysis in microbial communities. Plos Computational Biology. 10: e1003827
He S, Kunin V, Haynes M, et al. (2010) Metatranscriptomic array analysis of 'Candidatus Accumulibacter phosphatis'-enriched enhanced biological phosphorus removal sludge. Environmental Microbiology. 12: 1205-17
Tang YJ, Martin HG, Deutschbauer A, et al. (2009) Invariability of central metabolic flux distribution in Shewanella oneidensis MR-1 under environmental or genetic perturbations. Biotechnology Progress. 25: 1254-9
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