Recent progress on methods for estimating and updating large phylogenies
Year: 2022
Type: article
Abstract: With the increased availability of sequence data and even of fully sequenced and assembled genomes, phylogeny estimation of very large trees (even of hundreds of thousands of sequences) is now a goal for some biologists. Yet, the construction of these phylogenies is a complex pipeline presenting analytical and computational challenges, especially when the number of sequences is very large. In the past few years, new methods have been developed that aim to enable highly accurate phylogeny estimations on these large datasets, including divide-and-conquer techniques for multiple sequence alignment and/or tree estimation, methods that can estimate species trees from multi-locus datasets while addressing heterogeneity due to biological processes (e.g. incomplete lineage sorting and gene duplication and loss), and methods to add sequences into large gene trees or species trees. Here we present some of these recent advances and discuss opportunities for future improvements. This article is part of a discussion meeting issue 'Genomic population structures of microbial pathogens'.
Authors: Paul Zaharias, Tandy Warnow
Institution: University of Illinois Urbana-Champaign
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
Funder: National Science Foundation
OpenAlex ID: W4292572940