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TreeTuner: A pipeline for minimizing redundancy and complexity in large phylogenetic datasets

Various bioinformatics protocols have been developed for trimming the number of operational taxonomic units (OTUs) in phylogenetic datasets, but they typically require significant manual intervention. Here we present TreeTuner, a semiautomated pipeline that allows both coarse and fine-scale tuning o...

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Detalles Bibliográficos
Autores principales: Zhang, Xi, Hu, Yining, Eme, Laura, Maruyama, Shinichiro, Eveleigh, Robert J.M., Curtis, Bruce A., Sibbald, Shannon J., Hopkins, Julia F., Filloramo, Gina V., van Wijk, Klaas J., Archibald, John M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857567/
https://www.ncbi.nlm.nih.gov/pubmed/35243369
http://dx.doi.org/10.1016/j.xpro.2022.101175
Descripción
Sumario:Various bioinformatics protocols have been developed for trimming the number of operational taxonomic units (OTUs) in phylogenetic datasets, but they typically require significant manual intervention. Here we present TreeTuner, a semiautomated pipeline that allows both coarse and fine-scale tuning of large protein sequence phylogenetic datasets via the minimization of OTU redundancy. TreeTuner facilitates preliminary investigation of such datasets as well as more rigorous downstream analysis of specific subsets of OTUs. For complete details on the use and execution of this protocol, please refer to Maruyama et al. (2013) and Sibbald et al. (2019).