Impact of different substitution rate category parameters on cluster inference in different mixture datasets.

<p>The figure explores the impact of different substitution rates in our choice of substitution model for IQTree (GTR+F+I+G4), with the 6 different substitution rates (A-C, A-G, A-T, C-G, C-T, G-T, gray bar on top of each panel) on the Y axis, ordered by the different mixture datasets (X axis)...

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Xehetasun bibliografikoak
Egile nagusia:	August Guang (9975678) (author)
Beste egile batzuk:	Casey W Dunn (21263816) (author), Vlad Novitsky (3366560) (author), Mark Howison (3315450) (author), Rami Kantor (7863) (author)
Argitaratua:	2025
Gaiak:	Genetics Molecular Biology Biotechnology Evolutionary Biology Cancer Statistics Infectious Diseases Virology Biological Sciences not elsewhere classified still broadly used mean cluster size compared tree similarity also decreased number shape alignment provides flexible approach called larger clusters identified partial pol sequences 1 near full improve phylogenetic inference long hiv sequences phylogenetic inference near full 1 sequences shape alignments pol regions new approach molecular clusters improve phylogenetic full dataset short sequences long sequences available sequences xlink "> transmission dynamics systematically masked subset dataset study subset straightforward method short hiv shaped alignments results suggest provide insights proportional increments missing characters immediately depending different lengths analysis goals
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Impact of different substitution rate category parameters on cluster inference in different mixture datasets.

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