PhyKIT: A Multitool for Phylogenomics

Multiple sequence alignments and phylogenetic trees are rich in biological information and are fundamental to research in biology. PhyKIT is a tool for processing and analyzing the information content of multiple sequence alignments and phylogenetic trees. Here, we describe how to use PhyKIT for div...

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Autores: Steenwyk, Jacob L., Martínez-Redondo, Gemma Isabel, Buida, Thomas J., Gluck-Thaler, Emile, Shen, Xing-Xing, Gabaldón, Toni, Rokas, Antonis, Fernández García, Rosa María
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/373344
Acceso en línea:http://hdl.handle.net/10261/373344
https://api.elsevier.com/content/abstract/scopus_id/85208116627
Access Level:acceso abierto
Palabra clave:Software tools
Comparative genomics
Genomics
Phylogenomics
Phylogeny
Sequence alignments
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dc.title.none.fl_str_mv PhyKIT: A Multitool for Phylogenomics
title PhyKIT: A Multitool for Phylogenomics
spellingShingle PhyKIT: A Multitool for Phylogenomics
Steenwyk, Jacob L.
Software tools
Comparative genomics
Genomics
Phylogenomics
Phylogeny
Sequence alignments
title_short PhyKIT: A Multitool for Phylogenomics
title_full PhyKIT: A Multitool for Phylogenomics
title_fullStr PhyKIT: A Multitool for Phylogenomics
title_full_unstemmed PhyKIT: A Multitool for Phylogenomics
title_sort PhyKIT: A Multitool for Phylogenomics
dc.creator.none.fl_str_mv Steenwyk, Jacob L.
Martínez-Redondo, Gemma Isabel
Buida, Thomas J.
Gluck-Thaler, Emile
Shen, Xing-Xing
Gabaldón, Toni
Rokas, Antonis
Fernández García, Rosa María
author Steenwyk, Jacob L.
author_facet Steenwyk, Jacob L.
Martínez-Redondo, Gemma Isabel
Buida, Thomas J.
Gluck-Thaler, Emile
Shen, Xing-Xing
Gabaldón, Toni
Rokas, Antonis
Fernández García, Rosa María
author_role author
author2 Martínez-Redondo, Gemma Isabel
Buida, Thomas J.
Gluck-Thaler, Emile
Shen, Xing-Xing
Gabaldón, Toni
Rokas, Antonis
Fernández García, Rosa María
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Howard Hughes Medical Institute
National Science Foundation (US)
National Institutes of Health (US)
National Institute of Allergy and Infectious Diseases (US)
Burroughs Wellcome Fund
National Natural Science Foundation of China
Generalitat de Catalunya
Ministerio de Ciencia e Innovación (España)
Agencia Estatal de Investigación (España)
European Research Council
Agència de Gestió d'Ajuts Universitaris i de Recerca
Steenwyk, Jacob L. [0000-0002-8436-595X]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Software tools
Comparative genomics
Genomics
Phylogenomics
Phylogeny
Sequence alignments
topic Software tools
Comparative genomics
Genomics
Phylogenomics
Phylogeny
Sequence alignments
description Multiple sequence alignments and phylogenetic trees are rich in biological information and are fundamental to research in biology. PhyKIT is a tool for processing and analyzing the information content of multiple sequence alignments and phylogenetic trees. Here, we describe how to use PhyKIT for diverse analyses, including (i) constructing a phylogenomic supermatrix, (ii) detecting errors in orthology inference, (iii) quantifying biases in phylogenomic data sets, (iv) identifying radiation events or lack of resolution using gene support frequencies, and (v) conducting evolution-based screens to facilitate gene function prediction. Several PhyKIT functions that streamline multiple sequence alignment and phylogenetic processing-such as renaming FASTA entries or tree tips-are also discussed. These protocols demonstrate how simple command-line operations in the unified framework of PhyKIT facilitate diverse phylogenomic data analysis and processing, from supermatrix construction and diagnosis to gaining clues about gene function. © 2024 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Installing PhyKIT and syntax for usage Basic Protocol 2: Constructing a phylogenomic supermatrix Basic Protocol 3: Detecting anomalies in orthology relationships Basic Protocol 4: Quantifying biases in phylogenomic data matrices and related measures Basic Protocol 5: Identifying polytomies Basic Protocol 6: Assessing gene-gene coevolution as a genetic screen.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/373344
https://api.elsevier.com/content/abstract/scopus_id/85208116627
url http://hdl.handle.net/10261/373344
https://api.elsevier.com/content/abstract/scopus_id/85208116627
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
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#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI//RYC2017-22492
info:eu-repo/grantAgreement/EC/H2020/948281
https://doi.org/10.1002/cpz1.70016

dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv John Wiley & Sons
publisher.none.fl_str_mv John Wiley & Sons
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
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spelling PhyKIT: A Multitool for PhylogenomicsSteenwyk, Jacob L.Martínez-Redondo, Gemma IsabelBuida, Thomas J.Gluck-Thaler, EmileShen, Xing-XingGabaldón, ToniRokas, AntonisFernández García, Rosa MaríaSoftware toolsComparative genomicsGenomicsPhylogenomicsPhylogenySequence alignmentsMultiple sequence alignments and phylogenetic trees are rich in biological information and are fundamental to research in biology. PhyKIT is a tool for processing and analyzing the information content of multiple sequence alignments and phylogenetic trees. Here, we describe how to use PhyKIT for diverse analyses, including (i) constructing a phylogenomic supermatrix, (ii) detecting errors in orthology inference, (iii) quantifying biases in phylogenomic data sets, (iv) identifying radiation events or lack of resolution using gene support frequencies, and (v) conducting evolution-based screens to facilitate gene function prediction. Several PhyKIT functions that streamline multiple sequence alignment and phylogenetic processing-such as renaming FASTA entries or tree tips-are also discussed. These protocols demonstrate how simple command-line operations in the unified framework of PhyKIT facilitate diverse phylogenomic data analysis and processing, from supermatrix construction and diagnosis to gaining clues about gene function. © 2024 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Installing PhyKIT and syntax for usage Basic Protocol 2: Constructing a phylogenomic supermatrix Basic Protocol 3: Detecting anomalies in orthology relationships Basic Protocol 4: Quantifying biases in phylogenomic data matrices and related measures Basic Protocol 5: Identifying polytomies Basic Protocol 6: Assessing gene-gene coevolution as a genetic screen.JLS is a Howard Hughes Medical Institute Awardee of the Life Sciences Research Foundation. Research in AR's lab is supported by grants from the US National Science Foundation (DEB-2110404), the US National Institutes of Health/National Institute of Allergy and Infectious Diseases (R01 AI153356), and the Burroughs Wellcome Fund. GIMR acknowledges the support of the Secretaria d'Universitats i Recerca del Departament d'Empresa i Coneixement de la Generalitat de Catalunya and ESF Investing in your future (grant 2021 FI_B 00476). X-XS was supported by the National Key R&D Program of China (2022YFD1401600) and the National Science Foundation for Distinguished Young Scholars of Zhejiang Province (LR23C140001). RF acknowledges support from the following sources of funding: Ramón y Cajal fellowship (grant agreement no. RYC2017-22492 funded by MCIN/AEI /10.13039/501100011033 and ESF ‘Investing in your future’), the European Research Council (this project has received funding from the European Research Council [ERC] under the European's Union's Horizon 2020 research and innovation programme, grant agreement no. 948281) and the Secretaria d'Universitats i Recerca del Departament d'Economia i Coneixement de la Generalitat de Catalunya (AGAUR 2021-SGR00420).Peer reviewedJohn Wiley & SonsHoward Hughes Medical InstituteNational Science Foundation (US)National Institutes of Health (US)National Institute of Allergy and Infectious Diseases (US)Burroughs Wellcome FundNational Natural Science Foundation of ChinaGeneralitat de CatalunyaMinisterio de Ciencia e Innovación (España)Agencia Estatal de Investigación (España)European Research CouncilAgència de Gestió d'Ajuts Universitaris i de RecercaSteenwyk, Jacob L. [0000-0002-8436-595X]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/373344https://api.elsevier.com/content/abstract/scopus_id/85208116627reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI//RYC2017-22492info:eu-repo/grantAgreement/EC/H2020/948281https://doi.org/10.1002/cpz1.70016Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3733442026-05-22T06:33:51Z
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