AUTHOR=Melzer Nina , Qanbari Saber , Ding Xi , Wittenburg Dörte 

TITLE=CLARITY: a Shiny app for interactive visualisation of the bovine physical-genetic map

JOURNAL=Frontiers in Genetics

VOLUME=14

YEAR=2023

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2023.1082782

DOI=10.3389/fgene.2023.1082782

ISSN=1664-8021

ABSTRACT=<p>The arrangement of markers on the genome can be defined in either physical or linkage terms. While a physical map represents the inter-marker distances in base pairs, a genetic (or linkage) map pictures the recombination rate between pairs of markers. High-resolution genetic maps are key elements for genomic research, such as fine-mapping of quantitative trait loci, but they are also needed for creating and updating chromosome-level assemblies of whole-genome sequences. Based on published results on a large pedigree of German Holstein cattle and newly obtained results with German/Austrian Fleckvieh cattle, we aim at providing a platform that allows users to interactively explore the bovine genetic and physical map. We developed the R Shiny app CLARITY available online at <ext-link ext-link-type="uri" xlink:href="https://nmelzer.shinyapps.io/clarity" xmlns:xlink="http://www.w3.org/1999/xlink">https://nmelzer.shinyapps.io/clarity</ext-link> and as R package at <ext-link ext-link-type="uri" xlink:href="https://github.com/nmelzer/CLARITY" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/nmelzer/CLARITY</ext-link> that provides access to the genetic maps built on the Illumina Bovine SNP50 genotyping array with markers ordered according to the physical coordinates of the most recent bovine genome assembly ARS-UCD1.2. The user is able to interconnect the physical and genetic map for a whole chromosome or a specific chromosomal region and can inspect a landscape of recombination hotspots. Moreover, the user can investigate which of the frequently used genetic-map functions locally fits best. We further provide auxiliary information about markers being putatively misplaced in the ARS-UCD1.2 release. The corresponding output tables and figures can be downloaded in various formats. By ongoing data integration from different breeds, the app also facilitates comparison of different genome features, providing a valuable tool for education and research purposes.</p>