Overview of the wavess algorithm and R package.

Overview of the wavess algorithm and R package.

<p>The left panel describes required and optional inputs, the middle panel describes the algorithm itself, and the right panel describes the model output and potential analysis.</p>

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Bibliographic Details
Main Author:	Narmada Sambaturu (4989539) (author)
Other Authors:	Zena Lapp (10804871) (author), Fernando D. K. Tria (9592485) (author), Ethan Romero-Severson (13450323) (author), Carmen Molina-París (4989545) (author), Thomas Leitner (18756) (author)
Published:	2025
Subjects:	Microbiology Genetics Molecular Biology Evolutionary Biology Ecology Immunology Cancer Infectious Diseases Virology Biological Sciences not elsewhere classified summary statistics tested evolving immune response div >< p sequences longitudinally collected defined time points conserved sites fitness sampled virus sequences generate model inputs friendly r package w </ u v </ u host evolution called e </ u simulate virus within host virus sequences also provide functions virus evolution r package </ u simulated sequences virus population virus diversification time individual replicative fitness env </ (< u real sequences simulating within adaptive within world expectation wavess </ three forms selective pressures rigorously validated reference sequence reactivity imposed phylogenies reconstructed new software imulator ), empirical data based model 11 individuals
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