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EyeChrom and CCDBcurator: Visualizing chromosome count data from plants
PREMISE OF THE STUDY: Chromosome count data are available for hundreds of plant species and can be explored in text‐only format at the Chromosome Counts Database (http://ccdb.tau.ac.il). CCDBcurator and EyeChrom are an R package and a web application, respectively, that first curate and then visuali...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6342174/ https://www.ncbi.nlm.nih.gov/pubmed/30693153 http://dx.doi.org/10.1002/aps3.1207 |
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author | Rivero, Rodrigo Sessa, Emily B. Zenil‐Ferguson, Rosana |
author_facet | Rivero, Rodrigo Sessa, Emily B. Zenil‐Ferguson, Rosana |
author_sort | Rivero, Rodrigo |
collection | PubMed |
description | PREMISE OF THE STUDY: Chromosome count data are available for hundreds of plant species and can be explored in text‐only format at the Chromosome Counts Database (http://ccdb.tau.ac.il). CCDBcurator and EyeChrom are an R package and a web application, respectively, that first curate and then visualize these data graphically, so that intra‐ and interspecific variation of chromosome numbers can be easily summarized and displayed for a given genus. METHODS AND RESULTS: We developed R code to clean, summarize, and display in several formats the chromosome count data for a selected genus or set of species present in the Chromosome Counts Database. These data and figures can be exported for use in analyses, publications, or teaching. CONCLUSIONS: Chromosome count data are critical for a number of evolutionary studies in plant biology, and their importance is underscored by the increasing appreciation of the prevalence of polyploidy in land plants. CCDBcurator and EyeChrom provide a fast, easy, and reproducible means of cleaning, curating, and then visualizing the chromosome count data currently available for plants. |
format | Online Article Text |
id | pubmed-6342174 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63421742019-01-28 EyeChrom and CCDBcurator: Visualizing chromosome count data from plants Rivero, Rodrigo Sessa, Emily B. Zenil‐Ferguson, Rosana Appl Plant Sci Software Notes PREMISE OF THE STUDY: Chromosome count data are available for hundreds of plant species and can be explored in text‐only format at the Chromosome Counts Database (http://ccdb.tau.ac.il). CCDBcurator and EyeChrom are an R package and a web application, respectively, that first curate and then visualize these data graphically, so that intra‐ and interspecific variation of chromosome numbers can be easily summarized and displayed for a given genus. METHODS AND RESULTS: We developed R code to clean, summarize, and display in several formats the chromosome count data for a selected genus or set of species present in the Chromosome Counts Database. These data and figures can be exported for use in analyses, publications, or teaching. CONCLUSIONS: Chromosome count data are critical for a number of evolutionary studies in plant biology, and their importance is underscored by the increasing appreciation of the prevalence of polyploidy in land plants. CCDBcurator and EyeChrom provide a fast, easy, and reproducible means of cleaning, curating, and then visualizing the chromosome count data currently available for plants. John Wiley and Sons Inc. 2019-01-04 /pmc/articles/PMC6342174/ /pubmed/30693153 http://dx.doi.org/10.1002/aps3.1207 Text en © 2019 Rivero et al. Applications in Plant Sciences is published by Wiley Periodicals, Inc. on behalf of the Botanical Society of America This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Notes Rivero, Rodrigo Sessa, Emily B. Zenil‐Ferguson, Rosana EyeChrom and CCDBcurator: Visualizing chromosome count data from plants |
title |
EyeChrom and CCDBcurator: Visualizing chromosome count data from plants |
title_full |
EyeChrom and CCDBcurator: Visualizing chromosome count data from plants |
title_fullStr |
EyeChrom and CCDBcurator: Visualizing chromosome count data from plants |
title_full_unstemmed |
EyeChrom and CCDBcurator: Visualizing chromosome count data from plants |
title_short |
EyeChrom and CCDBcurator: Visualizing chromosome count data from plants |
title_sort | eyechrom and ccdbcurator: visualizing chromosome count data from plants |
topic | Software Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6342174/ https://www.ncbi.nlm.nih.gov/pubmed/30693153 http://dx.doi.org/10.1002/aps3.1207 |
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