Accurate, scalable, and fully automated inference of species trees from raw genome assemblies using ROADIES.

ABSTRACT: Current genome sequencing initiatives across a wide range of life forms offer significant potential to enhance our understanding of evolutionary relationships and support transformative biological and medical applications. Species trees play a central role in many of these applications; however, despite the widespread availability of genome assemblies, accurate inference of species trees remains challenging due to the limited automation, substantial domain expertise, and computational resources required by conventional methods. To address this limitation, we present ROADIES, a fully automated pipeline to infer species trees starting from raw genome assemblies. In contrast to the prominent approach, ROADIES incorporates a unique strategy of randomly sampling segments of the input genomes to

SUBMITTER: Gupta A 

PROVIDER: S-EPMC12088440 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature