James C. Hu
professor
Biochemistry and Biophysics
Texas A and M University
United States of America
Biography
The value of society’s investment in science is strongly dependent on the ability of future scientists to build on the results of previous results. As the pace of scientific productivity has accelerated through genomics and other Big Data technologies, the ability of scientist to master the literature is increasingly dependent on computational tools. One important aspect of making data more reusable is the association of data with annotations that can be used in computer-based data mining and analyses.
Research Interest
We have also worked on developing systems for building model organism databases for community annotation, including EcoliWiki, which reuses and modifies the open source software built for Wikipedia to provide more specialized scientific data resources.
Publications
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Chibucos, MC, Zweifel, AE, Herrera, JC, Meza, W, Eslamfam, S, Uetz, P et al.. An ontology for microbial phenotypes. BMC Microbiol. 2014;14 :294. doi: 10.1186/s12866-014-0294-3. PubMed PMID:25433798. PubMed Central PMC4287307.
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Nehring, RB, Gu, F, Lin, HY, Gibson, JL, Blythe, MJ, Wilson, R et al.. An ultra-dense library resource for rapid deconvolution of mutations that cause phenotypes in Escherichia coli. Nucleic Acids Res. 2016;44 (5):e41. doi: 10.1093/nar/gkv1131. PubMed PMID:26578563. PubMed Central PMC4797258.
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Chibucos, MC, Siegele, DA, Hu, JC, Giglio, M. The Evidence and Conclusion Ontology (ECO): Supporting GO Annotations. Methods Mol. Biol. 2017;1446 :245-259. doi: 10.1007/978-1-4939-3743-1_18. PubMed PMID:27812948. .
