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Taxonome: a software package for linking biological species data

Online databases of biological information offer tremendous potential for evolutionary and ecological discoveries, especially if data are combined in novel ways. However, the different names and varied spellings used for many species present major barriers to linking data. Taxonome is a software too...

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Detalles Bibliográficos
Autores principales: Kluyver, Thomas A, Osborne, Colin P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3678480/
https://www.ncbi.nlm.nih.gov/pubmed/23762512
http://dx.doi.org/10.1002/ece3.529
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author Kluyver, Thomas A
Osborne, Colin P
author_facet Kluyver, Thomas A
Osborne, Colin P
author_sort Kluyver, Thomas A
collection PubMed
description Online databases of biological information offer tremendous potential for evolutionary and ecological discoveries, especially if data are combined in novel ways. However, the different names and varied spellings used for many species present major barriers to linking data. Taxonome is a software tool designed to solve this problem by quickly and reproducibly matching biological names to a given reference set. It is available both as a graphical user interface (GUI) for simple interactive use, and as a library for more advanced functionality with programs written in Python. Taxonome also includes functions to standardize distribution information to a well-defined set of regions, such as the TDWG World Geographical Scheme for Recording Plant Distributions. In combination, these tools will help biologists to rapidly synthesize disparate datasets, and to investigate large-scale patterns in species traits.
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spelling pubmed-36784802013-06-12 Taxonome: a software package for linking biological species data Kluyver, Thomas A Osborne, Colin P Ecol Evol Original Research Online databases of biological information offer tremendous potential for evolutionary and ecological discoveries, especially if data are combined in novel ways. However, the different names and varied spellings used for many species present major barriers to linking data. Taxonome is a software tool designed to solve this problem by quickly and reproducibly matching biological names to a given reference set. It is available both as a graphical user interface (GUI) for simple interactive use, and as a library for more advanced functionality with programs written in Python. Taxonome also includes functions to standardize distribution information to a well-defined set of regions, such as the TDWG World Geographical Scheme for Recording Plant Distributions. In combination, these tools will help biologists to rapidly synthesize disparate datasets, and to investigate large-scale patterns in species traits. Blackwell Publishing Ltd 2013-05 2013-04-01 /pmc/articles/PMC3678480/ /pubmed/23762512 http://dx.doi.org/10.1002/ece3.529 Text en © 2013 Published by John Wiley & Sons Ltd. http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Original Research
Kluyver, Thomas A
Osborne, Colin P
Taxonome: a software package for linking biological species data
title Taxonome: a software package for linking biological species data
title_full Taxonome: a software package for linking biological species data
title_fullStr Taxonome: a software package for linking biological species data
title_full_unstemmed Taxonome: a software package for linking biological species data
title_short Taxonome: a software package for linking biological species data
title_sort taxonome: a software package for linking biological species data
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3678480/
https://www.ncbi.nlm.nih.gov/pubmed/23762512
http://dx.doi.org/10.1002/ece3.529
work_keys_str_mv AT kluyverthomasa taxonomeasoftwarepackageforlinkingbiologicalspeciesdata
AT osbornecolinp taxonomeasoftwarepackageforlinkingbiologicalspeciesdata