Brown, D., & Owen, M. (2020). Mean and Variance of Phylogenetic Trees. Systematic Biology, 69. https://doi.org/https://doi.org/10.1093/sysbio/syz041 (Original work published 2020)
References
Filter by:
Tran, N., Qiao, R., Xin, L., Chen, X., Lui, C., Zhang, X., Shan, B., Ghodsi, A., & Li, M. (2019). Deep learning enables de novo peptide sequencing from data-independent acquisition mass spectrometry. Nature Methods, Vol 16.
Guan, S., Moran, M., & Ma, B. (2019). Prediction of LC-MS/MS Properties of Peptides from Sequence by Deep Learning. Molecular Cellular Proteomics. Retrieved from https://www.mcponline.org/content/early/2019/06/27/mcp.TIR119.001412
Zohora, F., Tran, N., Zhang, X., Xin, L., Shan, B., & Li, M. (2019). Deeplso: a deep learning model for peptide feature detection. Nature, Scientific Report.
Mansfield, M., Wentz, T., Zhang, S., Lee, E., Dong, M., Sharma, S., & Doxey, A. (2019). Bioinformatic discovery of a toxin family in Chryseobacterium piperi with sequence similarity to botulinum neurotoxins. Scientific Reports. 9: 1634. Retrieved from https://www.nature.com/articles/s41598-018-37647-8
Bergstrand, L., Neufeld, J., & Doxey, A. (2019). Pygenprop: a python library for interactive programmatic exploration and comparison of organism Genome Properties. Bioinformatics, btz522. https://doi.org/https://doi.org/10.1093/bioinformatics/btz522
Mendler, K., Chen, H., Parks, D., Lobb, B., Hug, L., & Doxey, A. (2019). AnnoTree: visualization and exploration of a functionally annotated microbial tree of life. Nucleic Acids Research. 47: 4442-4448. Retrieved from https://academic.oup.com/nar/article/47/9/4442/5432638
Zhang, W., Chen, X., Xin, L., Shan, P., Luo, Z., Li, M., & . (2019). ChimST: An efficient spectral library search tool for peptide identification for chimeric spectra in data-dependent acquisition. ACM/IEEE/Trans./on/Comput./Biol./And/Bioinform. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/31603795
Randhawa, G., Hill, K., Kari, L., & Genomics, B. (2019). ML-DSP: Machine learning with Digital Signal Processing for ultrafast, accurate and scalable DNA sequence classification at all taxonomic levels. BMC Genomics, 20:267. Retrieved from https://cs.uwaterloo.ca/~lila/pdfs/ML-DSP.pdf
Doxey, A., Mansfield, M., & Lobb, B. (2019). Exploring the evolution of virulence factors through bioinformatic data mining. MSystems. 4:E00162-19. Retrieved from https://msystems.asm.org/content/4/3/e00162-19