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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...

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Detalles Bibliográficos
Autores principales: Rivero, Rodrigo, Sessa, Emily B., Zenil‐Ferguson, Rosana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
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
Descripción
Sumario: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.