Bryce Kille

4th Year Ph.D. student, big fan all things sequence analysis, high-performance computing, and discrete algorithms.

Bryce (4th year PhD student, Computer Science) received his MS in Bioinformatics and BS in Computer Science + Chemistry from the University of Illinois at Urbana-Champaign. As an undergraduate, he worked at Dow Agrosciences in both the computational biology and cheminformatics groups. His projects included developing software for phylogeny analysis and creating models for compound activity prediction. During his Master’s program, Bryce worked in a biochemistry lab developing software for genome mining (Schwalen et al., 2018) as well as a on research project for creating bit-wise algorithms for the C++ STL (BitLib). One of his main interests is casting biological and chemical problems into theoretical computer science questions.

As a PhD student, Bryce has worked on a range of sequence-analysis applications, such as genome alignment (Kille et al., 2023; Kille et al., 2024) and variant calling (Kille et al., 2021). Bryce is currently a NLM Biomedical Informatics predoctoral fellow (NIH grant T15LM007093).

References

2024

  1. Parsnp 2.0: scalable core-genome alignment for massive microbial datasets
    Bryce Kille, Michael G Nute, Victor Huang, and 3 more authors
    Bioinformatics, 2024

2023

  1. Minmers are a generalization of minimizers that enable unbiased local Jaccard estimation
    Bryce Kille, Erik Garrison, Todd J Treangen, and 1 more author
    Bioinformatics, 2023

2021

  1. Accelerating SARS-CoV-2 low frequency variant calling on ultra deep sequencing datasets
    Bryce Kille, Yunxi Liu, Nicolae Sapoval, and 4 more authors
    In 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2021

2018

  1. Bioinformatic expansion and discovery of thiopeptide antibiotics
    Christopher J Schwalen, Graham A Hudson, Bryce Kille, and 1 more author
    Journal of the American Chemical Society, 2018