AFCMHeatMap: A shiny web tool for HeatMap generation of genetic expression datasets using R packages
1
Bioinformatics Department, Armed Forces College of Medicine (AFCM), Cairo, Egypt
2
Biomedical sciences Department, Armed Forces College of Medicine (AFCM), Cairo, Egypt
3
Microbiology Department, Armed Forces College of Medicine (AFCM), Cairo, Egypt
- Published
- Accepted
- Subject Areas
- Bioinformatics, Genetics, Genomics, Computational Science
- Keywords
- Bioinformatics, Genomics, Shiny, R Packages
- Copyright
- © 2017 Tarek et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2017. AFCMHeatMap: A shiny web tool for HeatMap generation of genetic expression datasets using R packages. PeerJ Preprints 5:e2961v1 https://doi.org/10.7287/peerj.preprints.2961v1
Abstract
Generating heatmaps of genes datasets have been known to be a graphical representation of data where the individual values contained in a matrix are represented as colors. Herein, we describe AFCMHeatMap a shiny web App that integrates quantitative interaction genomics data and results from microarrays or RNA-Seq to highlight expression levels of various genetic datasets with a .CSV input file. The application also facilitates downloading heatmaps as a supplementary material for user's publications. Written in R using Shiny framework, it is a user-friendly framework for integrative genetic analyses that can be easily deployed across various operating systems distributions.
Author Comment
This is a preprint submission to PeerJ Preprints.