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ABSTRACT: Premise of the study
Despite advantages in terms of reproducibility, histogram analysis based on nonlinear regression is rarely used in genome size assessments in plant biology. This is due in part to the lack of a freely available program to implement the procedure. We have developed such a program, the R package flowPloidy.Methods and results
flowPloidy builds on the existing statistical tools provided with the R environment. This base provides tools for importing flow cytometry data, fitting nonlinear regressions, and interactively visualizing data. flowPloidy adds tools for building flow cytometry models, fitting the models to histogram data, and producing visual and tabular summaries of the results.Conclusions
flowPloidy fills an important gap in the study of p
SUBMITTER: Smith TW
PROVIDER: S-EPMC6055564 | biostudies-literature | 2018 Jun
REPOSITORIES: biostudies-literature