Wang, T., & Ma, B. (2018). Adjacent Y-ion Ratio Distributions and Its Application in Peptide Sequencing Presented at the The 14th Asia Pacific Bioinformatics Conference conference. Yokohama, Japan.
References
Filter by:
2018
Doxey, A., Mansfield, M., & Montecucco, C. (2018). Discovery of novel bacterial toxins by genomics and computational biology Toxicon. 147:2-12.
Shen, J., Pagala, V., Breuer, A., Peng, J., Ma, B., & Wang, X. (2018). Spectral Library Search Improves Assignment of TMT Labeled MS/MS Spectra Journal of Proteome Research.
Tran, N., Zhang, X., & Li, M. (2018). Deep Omics Proteomics. 18:2. 1700319. (Cover Page Story).
Solis-Reyes, S., Avino, M., Poon, A., & Kari, L. (2018). An open-source k-mer based machine learning tool for fast and accurate subtyping of HIV-I genomes PLOS ONE 13(11): E0206409. Retrieved from https://doi.org/10.1371/journal.pone.0206409.\%20pdf
Wang, T., & Ma, B. (2018). Adjacent Y-ion Ratio Distributions and Its Application in Peptide Sequencing IEEE/ACM/Transactions/on/Computational/Biology/and/Bioinformatics/16/(1),/43-51.
2017
Liu, Y., Ma, B., Zhang, K., & Lajoie, G. (2017). An approach for peptide identification by de novo sequencing of mixture spectra IEEE/ACM/Transactions/on/Computational/Biology/and/Bioinformatics/14:326-336.
Mooney, S., Talebian, V., Jolly, M., Jia, D., Gromala, M., Levine, H., & McConkey, B. (2017). The GRHL2/ZEB feedback loop—A key axis in the regulation of EMT in breast cancer Journal of Cellular Biochemistry, 118:2559-2570.
Tran, N., Zhang, X., Xin, L., Shan, B., & Li, M. (2017). De novo peptide sequencing by deep learning Proc. National Academy of Sciences of the USA, 114(31), 8247-8252.
Adams, J., Mansfield, M., Richard, D., & Doxey, A. (2017). Lineage-specific mutational clustering in protein structures predicts evolutionary shifts in function Bioinformatics. 33:1338-1345.