Cargando…

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...

Descripción completa

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
_version_ 1784654067604127744
author 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.
author_facet 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.
author_sort Zhang, Xi
collection PubMed
description 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).
format Online
Article
Text
id pubmed-8857567
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-88575672022-03-02 TreeTuner: A pipeline for minimizing redundancy and complexity in large phylogenetic datasets 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. STAR Protoc Protocol 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). Elsevier 2022-02-15 /pmc/articles/PMC8857567/ /pubmed/35243369 http://dx.doi.org/10.1016/j.xpro.2022.101175 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
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.
TreeTuner: A pipeline for minimizing redundancy and complexity in large phylogenetic datasets
title TreeTuner: A pipeline for minimizing redundancy and complexity in large phylogenetic datasets
title_full TreeTuner: A pipeline for minimizing redundancy and complexity in large phylogenetic datasets
title_fullStr TreeTuner: A pipeline for minimizing redundancy and complexity in large phylogenetic datasets
title_full_unstemmed TreeTuner: A pipeline for minimizing redundancy and complexity in large phylogenetic datasets
title_short TreeTuner: A pipeline for minimizing redundancy and complexity in large phylogenetic datasets
title_sort treetuner: a pipeline for minimizing redundancy and complexity in large phylogenetic datasets
topic Protocol
url 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
work_keys_str_mv AT zhangxi treetunerapipelineforminimizingredundancyandcomplexityinlargephylogeneticdatasets
AT huyining treetunerapipelineforminimizingredundancyandcomplexityinlargephylogeneticdatasets
AT emelaura treetunerapipelineforminimizingredundancyandcomplexityinlargephylogeneticdatasets
AT maruyamashinichiro treetunerapipelineforminimizingredundancyandcomplexityinlargephylogeneticdatasets
AT eveleighrobertjm treetunerapipelineforminimizingredundancyandcomplexityinlargephylogeneticdatasets
AT curtisbrucea treetunerapipelineforminimizingredundancyandcomplexityinlargephylogeneticdatasets
AT sibbaldshannonj treetunerapipelineforminimizingredundancyandcomplexityinlargephylogeneticdatasets
AT hopkinsjuliaf treetunerapipelineforminimizingredundancyandcomplexityinlargephylogeneticdatasets
AT filloramoginav treetunerapipelineforminimizingredundancyandcomplexityinlargephylogeneticdatasets
AT vanwijkklaasj treetunerapipelineforminimizingredundancyandcomplexityinlargephylogeneticdatasets
AT archibaldjohnm treetunerapipelineforminimizingredundancyandcomplexityinlargephylogeneticdatasets