Chen, Weihua


Phone: 15827354263


Academic Areas: cancer omics

Research Interests: cancer, autoimmune diseases, pedigree analysis, multi-omics integration, data mining, medical record mining, machine learning, evolutionary biology, bioinformatics tools/database development

Academic Degrees


Professional Experience

I have authored over 20 academic papers (as of Sep 2016) including those published in high-profile journals such as Science, Molecular Systems Biology, Nature Communications, Molecular Biology and Evolution and Nucleic Acids Research. Now I am heading a research group in the Department of Bioinformatics and Systems Biology at HUST focusing on cancer genomics.

Selected Publications

1. Chen, W.H., et al., Energy efficiency trade-offs drive nucleotide usage in transcribed regions. Nat Commun, 2016. 7: p. 11334.

2. He, Z., et al., Evolview v2: an online visualization and management tool for customized and annotated phylogenetic trees. Nucleic Acids Res, 2016.

3. Chen, W.H., van Noort, V., Lluch-Senar, M., Hennrich, M.L., JA, H.W., Yus, E., Alibes, A., Roma, G., Mende, D.R., Pesavento, C. et al. (2016) Integration of multi-omics data of a genome-reduced bacterium: Prevalence of post-transcriptional regulation and its correlation with protein abundances. Nucleic Acids Res, 44, 1192-1202.

4. Lluch-Senar, M., Delgado, J., Chen, W.H., Llorens-Rico, V., O'Reilly, F.J., Wodke, J.A., Unal, E.B., Yus, E., Martinez, S., Nichols, R.J. et al. (2015) Defining a minimal cell: essentiality of small ORFs and ncRNAs in a genome-reduced bacterium. Molecular systems biology, 11, 780.

5. Chen, W.-H., et al., Human Monogenic Disease Genes Have Frequently Functionally Redundant Paralogs. PLoS Comput Biol, 2013. 9(5): p. e1003073.

6. Schonknecht, G., Chen, W.H., Ternes, C.M., Barbier, G.G., Shrestha, R.P., Stanke, M., Brautigam, A., Baker, B.J., Banfield, J.F., Garavito, R.M. et al. (2013) Gene transfer from bacteria and archaea facilitated evolution of an extremophilic eukaryote. Science, 339, 1207-1210.

7. Chen, W.H., Minguez, P., Lercher, M.J. and Bork, P. (2012) OGEE: an online gene essentiality database. Nucleic Acids Research, 40, D901-906.

8. Chen, W.-H., Trachana, K., Lercher, M.J. and Bork, P. (2012) Younger Genes Are Less Likely to Be Essential than Older Genes, and Duplicates Are Less Likely to Be Essential than Singletons of the Same Age. Molecular Biology and Evolution, 29, 1703-1706..


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