EyeChrom and CCDBcurator: Visualizing chromosome count data from plants

Rodrigo Rivero, Emily B. Sessa, Rosana Zenil-Ferguson

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


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.

Original languageEnglish
Article numbere01207
JournalApplications in Plant Sciences
Issue number1
StatePublished - Jan 2019

Bibliographical note

Publisher Copyright:
© 2019 Rivero et al. Applications in Plant Sciences is published by Wiley Periodicals, Inc. on behalf of the Botanical Society of America


  • chromosome
  • data visualization
  • genome size
  • karyotype
  • polyploidy

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Plant Science


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