Apr 18, 2020

gwaRs: an R shiny web application for visualizing genome-wide association studies data

BioRxiv : the Preprint Server for Biology
Lethukuthula Lindokuhle Nkambule

Abstract

Summary: Although there is an exponential increase and extensive availability of genome-wide association studies data, the visualization of this data remains difficult for non-specialist users. Current software and packages for visualizing GWAS data are intended for specialists and have been developed to accomplish specific functions, favouring functionality over user experience. To facilitate this, we have developed an R shiny web application, gwaRs, that allows any general user to visualize GWAS data efficiently and effortlessly. The gwaRs web-browser interface allows users to visualize GWAS data using SNP-density, quantile-quantile, Manhattan, and Principal Component Analysis plots. Availability: The gwaRs web application is publicly hosted at https://gwasviz.shinyapps.io/gwaRs/ and R source code is released under the GNU General Public License and freely available at GitHub: https://github.com/LindoNkambule/gwaRs.

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Mentioned in this Paper

Study
Zone
Genome
Grasshoppers
Centropomus parallelus
Vertical Disease Transmission
Recombination, Genetic
Genomics
Streptococcus agalactiae
Depth

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