Bioinformatics Research Center - 2018

Larson, G., Thorne, J. L., & Schmidler, S. (2018). Modeling Dependence in Evolutionary Inference for Proteins. RESEARCH IN COMPUTATIONAL MOLECULAR BIOLOGY, RECOMB 2018, Vol. 10812, pp. 122–137. https://doi.org/10.1007/978-3-319-89929-9_8

Singleton, D. R., Lee, J., Dickey, A. N., Stroud, A., Scholl, E. H., Wright, F. A., & Aitken, M. D. (2018). Polyphasic characterization of four soil-derived phenanthrene-degrading Acidovorax strains and proposal of Acidovorax carolinensis sp nov. SYSTEMATIC AND APPLIED MICROBIOLOGY, 41(5), 460–472. https://doi.org/10.1016/j.syapm.2018.06.001

Mahapatra, D., Franzosa, J. A., Roell, K., Kuenemann, M. A., Houck, K. A., Reif, D. M., … Kullman, S. W. (2018). Confirmation of high-throughput screening data and novel mechanistic insights into VDR-xenobiotic interactions by orthogonal assays. Scientific Reports, 8.

Wang, J. P., Matthews, M. L., Williams, C. M., Shi, R., Yang, C., Tunlaya-Anukit, S., … Chiang, V. L. (2018). Improving wood properties for wood utilization through multi-omics integration in lignin biosynthesis. NATURE COMMUNICATIONS, 9. https://doi.org/10.1038/s41467-018-03863-z

Luo, Y., Maity, A., Wu, M. C., Smith, C., Duan, Q., Li, Y., & Tzeng, J.-Y. (2018). On the substructure controls in rare variant analysis: Principal components or variance components? GENETIC EPIDEMIOLOGY, 42(3), 276–287. https://doi.org/10.1002/gepi.22102