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PUmPER: phylogenies updated perpetually

Summary: New sequence data useful for phylogenetic and evolutionary analyses continues to be added to public databases. The construction of multiple sequence alignments and inference of huge phylogenies comprising large taxonomic groups are expensive tasks, both in terms of man hours and computation...

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Detalles Bibliográficos
Autores principales: Izquierdo-Carrasco, Fernando, Cazes, John, Smith, Stephen A., Stamatakis, Alexandros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4016711/
https://www.ncbi.nlm.nih.gov/pubmed/24478338
http://dx.doi.org/10.1093/bioinformatics/btu053
Descripción
Sumario:Summary: New sequence data useful for phylogenetic and evolutionary analyses continues to be added to public databases. The construction of multiple sequence alignments and inference of huge phylogenies comprising large taxonomic groups are expensive tasks, both in terms of man hours and computational resources. Therefore, maintaining comprehensive phylogenies, based on representative and up-to-date molecular sequences, is challenging. PUmPER is a framework that can perpetually construct multi-gene alignments (with PHLAWD) and phylogenetic trees (with ExaML or RAxML-Light) for a given NCBI taxonomic group. When sufficient numbers of new gene sequences for the selected taxonomic group have accumulated in GenBank, PUmPER automatically extends the alignment and infers extended phylogenetic trees by using previously inferred smaller trees as starting topologies. Using our framework, large phylogenetic trees can be perpetually updated without human intervention. Importantly, resulting phylogenies are not statistically significantly worse than trees inferred from scratch. Availability and implementation: PUmPER can run in stand-alone mode on a single server, or offload the computationally expensive phylogenetic searches to a parallel computing cluster. Source code, documentation, and tutorials are available at https://github.com/fizquierdo/perpetually-updated-trees. Contact: Fernando.Izquierdo@h-its.org Supplementary information: Supplementary Material is available at Bioinformatics online.