AFCMHeatMap: A shiny web tool for heatmap generation of genetic expression datasets using R packages
Author and article information
Abstract
Generating heatmaps of genetic datasets is a 2D graphical visualization of data where the individual expression values contained in a matrix are represented as colors. Herein, we describe AFCMHeatMap a shiny web App that integrates quantitative interaction of 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 interactive expression data visualization that can be easily deployed without any restrictions to any operating system used by any online user.
Cite this as
2017. AFCMHeatMap: A shiny web tool for heatmap generation of genetic expression datasets using R packages. PeerJ Preprints 5:e2961v2 https://doi.org/10.7287/peerj.preprints.2961v2Author comment
The updated version of the preprint have addressed citation issues regarding open-source code provided with AFCMHeatMap, It also addressed previous literature content to be properly cited and paraphrased in the preprint. The source code repository on github have been documented with changes regarding used functions of R packages that have been inspired by MicroScope shiny App for proper citation and documentation of modified codes and functions of required R packages.
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Additional Information
Competing Interests
The authors declare that they have no competing interests.
Author Contributions
Mohammad Tarek conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, submitting Files to GitHub.
Ayman S Shafei reviewed drafts of the paper.
Mahmoud A Ali reviewed drafts of the paper.
Data Deposition
The following information was supplied regarding data availability:
GitHub
Funding
This work was supported by the Armed Forces College of Medicine AFCM in Cairo, Egypt. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
