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Phylonium: fast estimation of evolutionary distances from large samples of similar genomes

MOTIVATION: Tracking disease outbreaks by whole-genome sequencing leads to the collection of large samples of closely related sequences. Five years ago, we published a method to accurately compute all pairwise distances for such samples by indexing each sequence. Since indexing is slow, we now ask w...

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Detalles Bibliográficos
Autores principales: Klötzl, Fabian, Haubold, Bernhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141870/
https://www.ncbi.nlm.nih.gov/pubmed/31790149
http://dx.doi.org/10.1093/bioinformatics/btz903
Descripción
Sumario:MOTIVATION: Tracking disease outbreaks by whole-genome sequencing leads to the collection of large samples of closely related sequences. Five years ago, we published a method to accurately compute all pairwise distances for such samples by indexing each sequence. Since indexing is slow, we now ask whether it is possible to achieve similar accuracy when indexing only a single sequence. RESULTS: We have implemented this idea in the program phylonium and show that it is as accurate as its predecessor and roughly 100 times faster when applied to all 2678 Escherichia coli genomes contained in ENSEMBL. One of the best published programs for rapidly computing pairwise distances, mash, analyzes the same dataset four times faster but, with default settings, it is less accurate than phylonium. AVAILABILITY AND IMPLEMENTATION: Phylonium runs under the UNIX command line; its C++ sources and documentation are available from github.com/evolbioinf/phylonium. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.