gwaRs: an R shiny web application for visualizing genome-wide association studies data
Nkambule, L. L.
Show abstract
SummaryAlthough 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. AvailabilityThe 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. Contactlindonkambule116@gmail.com
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- MetaPhat: Detecting and decomposing multivariate associations from univariate genome-wide association statistics 94%
- Bedsect: An integrated web server application to perform intersection, visualization and functional annotation of genomic regions from multiple datasets 93%
- DSNetwork: An integrative approach to visualize predictions of variants’ deleteriousness 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.