Computational protocol: The Cerrado (Brazil) plant cytogenetics database

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[…] All statistics and the online database were performed in R (). Packages used were shiny (), shinyjs (), shinydashboard (), ggplot2 (), plyr (), dplyr (), stringr (), data.table (), DT (), mongolite (), gtools (), robustHD () and scales (). Several frequencies were determined, such as: employed techniques or country of author affiliation per decade; chromosome number (2n), genome size, TCL and TCA per taxa. Where not available, TCL and TCA were measured from photos by ImageJ (). Due to the scarcity of genome size data, a correlation analysis between TCA/TCL and known genome sizes was performed in order to have a rough idea of genome size in pg based on TCL or TCA. In accessions without 2n number, they were calculated from meiosis or pollen observations (n).Even n numbers are more common than odd ones because of the prevalence of even 2n that eventually undergo duplication (; ). As expected, this trend is more pronounced for high 2n which are usually the result of whole genome duplication events, but may vary by dysploidy. Accessions were subdivided in two groups according to n under or over the mode (n) (low 2n, high 2n); and the even/odd ratio for each group was calculated in order to assess indirectly the degree of polyploidy/dysploidy in each major clade. […]

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