MareyMap is an R package to estimate local recombination rates along the genome using Marey maps.

MareyMap relies on comparing the genetic and the physical maps of a given chromosome to estimate local recombination rates (given by the slope of the curve describing the relationship between both variables), a graphical method called the Marey map method introduced by A. Chakravarti in 1991. MareyMap accepts Marey map data as input (genetic and physical positions of markers for a set of chromosomes of a species) and will return local recombination rate estimates.

MareyMap has many features and possible options (detailled in the present user guideline document) including :

All functionalities of MareyMap are introduced on the vignette of the package.

The package

The stable version of MareyMap can be installed from CRAN using:

install.packages("MareyMap")

The development version of MareyMap can be installed from GitHub (remotes needed):

if (!requireNamespace("remotes", quietly = TRUE))
   install.packages("remotes")
   
# remotes::install_github("lbbe-software/MareyMap")
install.packages("MareyMap", repos = c('https://lbbe-software.r-universe.dev', 'https://cloud.r-project.org'))

Finally load the package in your current R session with the following R command:

library(MareyMap)

The shiny app

A web application (a Shiny app) is available to use the functionalities of the MareyMap package in an interactive way. MareyMap Online offers a simpler version of the R package MareyMap.

The MareyMap Online Shiny app can be found at: https://lbbe-shiny.univ-lyon1.fr/MareyMapOnline/

References

Rezvoy C, Charif D, Guéguen L, Marais GAB. (2007) MareyMap: an R-based tool with graphical interface for estimating recombination rates. Bioinformatics. 23(16): 2188-9. https://doi.org/10.1093/bioinformatics/btm315

A. Siberchicot, A. Bessy, L. Guéguen, G. Marais (2017). MareyMap Online: A User-Friendly Web Application and Database Service for Estimating Recombination Rates Using Physical and Genetic Maps. Genome Biology and Evolution. 9(10): 2506-2509. https://doi.org/10.1093/gbe/evx178