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phylogatR: Phylogeographic data aggregation and repurposing.

Authors :
Pelletier TA
Parsons DJ
Decker SK
Crouch S
Franz E
Ohrstrom J
Carstens BC
Source :
Molecular ecology resources [Mol Ecol Resour] 2022 Nov; Vol. 22 (8), pp. 2830-2842. Date of Electronic Publication: 2022 Jul 12.
Publication Year :
2022

Abstract

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.<br /> (© 2022 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd.)

Details

Language :
English
ISSN :
1755-0998
Volume :
22
Issue :
8
Database :
MEDLINE
Journal :
Molecular ecology resources
Publication Type :
Academic Journal
Accession number :
35748425
Full Text :
https://doi.org/10.1111/1755-0998.13673