wavess 1.2: Presenting an HLA-aware within-host virus sequence simulation framework
wavess 1.2 simulates within-host virus sequences with an HLA-aware CTL response and variable recombination rate to improve accuracy in immune-dominated regions.
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Los Alamos National LaboratoryORCID 0000-0001-8160-2588Unclaimed ORCID profile · follow to get notified of new preprints
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wavess 1.2 simulates within-host virus sequences with an HLA-aware CTL response and variable recombination rate to improve accuracy in immune-dominated regions.
Zena Lapp, Hyejin Yoon, Brian Thomas Foley, Thomas Leitner
Hypermut 3 detects hypermutation patterns in sequences, handling multistate characters and gaps, and is available as a web and command-line tool.
Michael D. Kupperman, Ruian Ke, Thomas Leitner
The paper develops a simulation tool to assess how contact tracing affects phylogenetic inferences from molecular epidemiology data.
Michael D. Kupperman, Thomas Leitner, Ruian Ke
This paper develops a deep learning method for real-time HIV outbreak detection using genomic data, achieving high specificity and sensitivity in identifying outbreaks.