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phylogatR: Phylogeographic data aggregation and repurposing

Patterns of genetic diversity within species contain information the history of that species, including how they have responded to historical climate change and how easily the organism is able to disperse across its habitat. More than 40,000 phylogeographic and population genetic investigations have...

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Detalles Bibliográficos
Autores principales: Pelletier, Tara A., Parsons, Danielle J., Decker, Sydney K., Crouch, Stephanie, Franz, Eric, Ohrstrom, Jeffery, Carstens, Bryan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9796472/
https://www.ncbi.nlm.nih.gov/pubmed/35748425
http://dx.doi.org/10.1111/1755-0998.13673
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author Pelletier, Tara A.
Parsons, Danielle J.
Decker, Sydney K.
Crouch, Stephanie
Franz, Eric
Ohrstrom, Jeffery
Carstens, Bryan C.
author_facet Pelletier, Tara A.
Parsons, Danielle J.
Decker, Sydney K.
Crouch, Stephanie
Franz, Eric
Ohrstrom, Jeffery
Carstens, Bryan C.
author_sort Pelletier, Tara A.
collection PubMed
description Patterns of genetic diversity within species contain information the history of that species, including how they have responded to historical climate change and how easily the organism is able to disperse across its habitat. More than 40,000 phylogeographic and population genetic investigations have been published to date, each collecting genetic data from hundreds of samples. Despite these millions of data points, meta‐analyses are challenging because the synthesis of results across hundreds of studies, each using different methods and forms of analysis, is a daunting and time‐consuming task. It is more efficient to proceed by repurposing existing data and using automated data analysis. To facilitate data repurposing, we created a database (phylogatR) that aggregates data from different sources and conducts automated multiple sequence alignments and data curation to provide users with nearly ready‐to‐analyse sets of data for thousands of species. Two types of scientific research will be made easier by phylogatR: large meta‐analyses of thousands of species that can address classic questions in evolutionary biology and ecology, and student‐ or citizen‐ science based investigations that will introduce a broad range of people to the analysis of genetic data. phylogatR enhances the value of existing data via the creation of software and web‐based tools that enable these data to be recycled and reanalysed and increase accessibility to big data for research laboratories and classroom instructors with limited computational expertise and resources.
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spelling pubmed-97964722022-12-30 phylogatR: Phylogeographic data aggregation and repurposing Pelletier, Tara A. Parsons, Danielle J. Decker, Sydney K. Crouch, Stephanie Franz, Eric Ohrstrom, Jeffery Carstens, Bryan C. Mol Ecol Resour From the Cover Patterns of genetic diversity within species contain information the history of that species, including how they have responded to historical climate change and how easily the organism is able to disperse across its habitat. More than 40,000 phylogeographic and population genetic investigations have been published to date, each collecting genetic data from hundreds of samples. Despite these millions of data points, meta‐analyses are challenging because the synthesis of results across hundreds of studies, each using different methods and forms of analysis, is a daunting and time‐consuming task. It is more efficient to proceed by repurposing existing data and using automated data analysis. To facilitate data repurposing, we created a database (phylogatR) that aggregates data from different sources and conducts automated multiple sequence alignments and data curation to provide users with nearly ready‐to‐analyse sets of data for thousands of species. Two types of scientific research will be made easier by phylogatR: large meta‐analyses of thousands of species that can address classic questions in evolutionary biology and ecology, and student‐ or citizen‐ science based investigations that will introduce a broad range of people to the analysis of genetic data. phylogatR enhances the value of existing data via the creation of software and web‐based tools that enable these data to be recycled and reanalysed and increase accessibility to big data for research laboratories and classroom instructors with limited computational expertise and resources. John Wiley and Sons Inc. 2022-07-12 2022-11 /pmc/articles/PMC9796472/ /pubmed/35748425 http://dx.doi.org/10.1111/1755-0998.13673 Text en © 2022 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle From the Cover
Pelletier, Tara A.
Parsons, Danielle J.
Decker, Sydney K.
Crouch, Stephanie
Franz, Eric
Ohrstrom, Jeffery
Carstens, Bryan C.
phylogatR: Phylogeographic data aggregation and repurposing
title phylogatR: Phylogeographic data aggregation and repurposing
title_full phylogatR: Phylogeographic data aggregation and repurposing
title_fullStr phylogatR: Phylogeographic data aggregation and repurposing
title_full_unstemmed phylogatR: Phylogeographic data aggregation and repurposing
title_short phylogatR: Phylogeographic data aggregation and repurposing
title_sort phylogatr: phylogeographic data aggregation and repurposing
topic From the Cover
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9796472/
https://www.ncbi.nlm.nih.gov/pubmed/35748425
http://dx.doi.org/10.1111/1755-0998.13673
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