Abstract
Motivation Where standalone tools for genetic map visualisation, consensus map construction, and Marey map analysis offer useful analyses for research and breeding, no single tool combines the three. Manual data curation is part of each of these analyses, which is difficult to standardize and consequently error prone.
Results Mapfuser provides a high-level interface for common analyses in breeding programs and quantitative genetics. Combined with interactive visualisations and automated quality control, mapfuser provides a standardized and flexible toolbox and is available as Shiny app for biologists. Reproducible research in the R package is facilitated by storage of raw data, function parameters, and results in an R object. In the shiny app a rmarkdown report is available.
Availability Mapfuser is available as R package at https://github.com/dmuijen/mapfuser under the GPL-3 License and is available for public use as Shiny application at https://plantbreeding.shinyapps.io/mapfuser. Documentation for the R package is available as package vignette. Shiny app documentation is integrated in the application.
Contact dennis.vanmuijen{at}wur.nl