APOGeT: Automated Phylogeny over Geological Time-scales

Fuente: arXiv
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Autores principales: Godin-Dubois, Kevin, Cussat-Blanc, Sylvain, Duthen, Yves
Formato: Preprint
Publicado: 2024
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author Godin-Dubois, Kevin
Cussat-Blanc, Sylvain
Duthen, Yves
author_facet Godin-Dubois, Kevin
Cussat-Blanc, Sylvain
Duthen, Yves
contents To tackle the challenge of producing tractable phylogenetic trees in contexts where complete information is available, we introduce APOGeT: an online, pluggable, clustering algorithm for a stream of genomes. It is designed to run alongside a given experimental protocol with minimal interactions and integration effort. From the genomic flow, it extracts and displays species' boundaries and dynamics. Starting with a light introduction to the core idea of this classification we discuss the requirements on the genomes and the underlying processes of building species' identities and managing hybridism. Though stemming from an ALife experimental setting, APOGeT ought not be limited to this field but could be used by (and benefit from) a broader audience.
format Preprint
id arxiv_https___arxiv_org_abs_2407_21412
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle APOGeT: Automated Phylogeny over Geological Time-scales
Godin-Dubois, Kevin
Cussat-Blanc, Sylvain
Duthen, Yves
Populations and Evolution
To tackle the challenge of producing tractable phylogenetic trees in contexts where complete information is available, we introduce APOGeT: an online, pluggable, clustering algorithm for a stream of genomes. It is designed to run alongside a given experimental protocol with minimal interactions and integration effort. From the genomic flow, it extracts and displays species' boundaries and dynamics. Starting with a light introduction to the core idea of this classification we discuss the requirements on the genomes and the underlying processes of building species' identities and managing hybridism. Though stemming from an ALife experimental setting, APOGeT ought not be limited to this field but could be used by (and benefit from) a broader audience.
title APOGeT: Automated Phylogeny over Geological Time-scales
topic Populations and Evolution
url https://arxiv.org/abs/2407.21412