References

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.

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.

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.

Capellini, T., Chen, H., Cao, J., Doxey, A., Kiapour, K., Schoor, M., & Kingsley, D. (2017). The locus of selection on common GDF5 height and arthritis risk variants in humans Nature Genetics. 49:1202-1210.

D\textquoterightAlessio, M., Nordeste, R., Doxey, A., & Charles, T. (2017). Transcriptome analysis of polyhydroxybutyrate cycle mutants reveals discrete loci connecting nitrogen utilization and carbon storage in Sinorhizobium meliloti MSystems. 2:E00035-17.

Karamichalis, R., & Kari, L. (2017). ModMaps3D: An interactive webtool for the quantification and 3D visualization of interrelationships in a dataset of DNA sequences Bioinformatics. Retrieved from https://cs.uwaterloo.ca/~lila/pdfs/Modmap_tools_final.pdf

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.