Welcome to SimpleViz

SimpleViz is a web-based Shiny app for exploring tabular omics/microbiome data andgenerating publication-ready plots and analyses from your data.

Choose one of the tabs above to start with Box/Violin/Dot plot, Ordination plot, Differential analysis, Pattern discovery, or see citation information.

  • Use the panel controls in each module to paste or upload your data.
  • Customize plot appearance, color mapping, and export settings.
  • Most modules support tab-separated input and include sample data examples.

How to use SimpleViz

1. Select the analysis tab for your desired visualization or statistical method.

2. Paste your data into the input box or use the example data provided.

3. Adjust plot settings, colors, and labels to fit your needs.

4. Download the resulting figure in PNG, SVG, or PDF format.

Modules

1. Box/Violin/Dot plot: Create boxplots, violin plots, or dot plots to visualize distributions of your data across groups.

2. Ordination plot: Generate PCA or NMDS plots to explore sample relationships based on your data.

3. Differential analysis: Perform DESeq2 analysis or create volcano plots to identify significant features.

4. Pattern discovery: Create heatmaps or correlation matrices to identify patterns and relationships


                

              

            

          

          

            

              

                
              

              

                

              

            

          

          

            

              

                
              

              

                
DESeq2 Analysis Result

                

              

            

          

          

            

              

                
              

              

                

              

            

          

          

            

              

                
              

              

                

              

            

          

          

            

              
How to cite SimpleViz

              
If you use SimpleViz in your research, please cite:

              

                
SimpleViz: A User-Friendly, Web-Based Tool for Publication-Ready Data Visualization in Bioinformatics

                

                  Byeong Seob Oh
                  1†
                  , Juhee Kim
                  2†
                  , Minjeong Gwon
                  2
                  , Jiwon Bang
                  2
                  , Kwang-Jun Lee
                  3
                  , Eun-Jin Lee
                  4
                   and Yong-Joon Cho
                  1,2*
                

                

                  1
                  Multidimensional Genomics Research Center, Kangwon National University, Chuncheon 24341, Republic of Korea
                

                

                  2
                  Department of Molecular Bioscience, Kangwon National University, Chuncheon 24341, Republic of Korea
                

                

                  3
                  Division of Zoonotic and Vector Borne Diseases Research, Center for Infectious Diseases Research, National Institute of Health, Cheongju 28159, Republic of Korea
                

                

                  4
                  Department of Life Sciences, School of Life Sciences and Biotechnology, Korea University, Seoul 02841, South Korea
                

                

                  †
                  These authors contributed equally to this work
                

                

                  *
                  Corresponding author: Yong-Joon Cho, Ph.D. (Tel: +82-33-250-8544, E-mail: yongjoon@kangwon.ac.kr)
                

              

              

              
For more information about SimpleViz, please visit our GitHub repository or contact the corresponding author.