Estimates of evolutionary model parameters <i>s</i> (strength of selection) and <i>α</i> (key allele size) for microsatellites receiving a plurality of support for one of the four selection models.

Estimates of evolutionary model parameters <i>s</i> (strength of selection) and <i>α</i> (key allele size) for microsatellites receiving a plurality of support for one of the four selection models.

<p>For loci with zero or negligible variance in allele size (<i>V</i><sub><i>AS</i></sub>), we note the minimum <i>s</i> required to maintain zero variance at a locus of the same motif size, under the identified model of selection, and using an a...

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Bibliographic Details
Main Author:	Ryan J. Haasl (3259872) (author)
Other Authors:	Bret A. Payseur (7310231) (author)
Published:	2024
Subjects:	Genetics Evolutionary Biology Ecology Infectious Diseases Biological Sciences not elsewhere classified xlink "> advances scale analyses like random forests approach population genetic methods modulate gene expression dna sequencing technology selective dynamics navigated microsatellite fitness surfaces influence biological function selection remains uncharacterized characterizing selection assume single nucleotide variants harbor substantial variation fitness landscapes provide approximate bayesian computation fitness landscapes obvious function evolutionary dynamics affect fitness selection strengths natural selection wide scans variants mutate valuable visualization unprecedented scales two parameters specifically designed simple manner report suggests repetitive variants repetitive sequences optimal alleles mutate orders magnitude faster low rate intergenic loci identifying genes examining patterns eight populations easily simulated appreciable percentage 200 humans
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