APOGeT: Automated Phylogeny over Geological Time-scales

Kevin Godin-Dubois, Sylvain Cussat-Blanc, Yves Duthen
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Abstract

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.
APOGeT:地质时间尺度上的自动系统发育
为了应对在有完整信息的情况下生成可行的系统发生树这一挑战,我们引入了 APOGeT:一种在线、可插拔的基因组流聚类算法。该算法可与给定的实验方案同时运行,只需最小的交互和整合工作量。它能从基因组流中提取并显示物种的边界和动态。虽然 APOGeT 源自 ALife 实验环境,但它不应局限于这一领域,而是可以被更广泛的受众使用(并从中受益)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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