Explore our comprehensive collection of R (and Python) shiny applications. You can easily search for existing applications or submit a request to include your own shiny application in our diverse portfolio. Please remember that none of these applications belong solely to Shiny App Store, these are open source projects by users. Use and share, let's grow together!

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Or find by common keywords: explore genes diagnostic regression meta shinyalert files distribution maths demo predict learn simulate dictionary behavioral network disease game oceanexplorer generate spatial equation cancer logo teach calculate dataset anova parametric bayesian definition names mephas variance educate primer timevis hexsticker volcano linguistic sensitivity analysis statistics continuous experiments workflow omics decompose symbol text research normality rnaseq visualization comparison testing pharmacometrics gene pca english quantify ggplot simrel screen pkpd sequencing model ocean msm survival words estimation correlation covariate throughput activity tutorial pharmacology doe country cluster random pharmacokinetic trials multivariate simulation ibuprofen exploratory daily blandaltman tables code statistic missingness visulaization compare plot rna document distatis patient markdown caffeine luciferase covid detect power puzzle data stats exercise shinyace shinyjs manhattan probability lights measurement design microbiome extract expression food rpackage bayes extreme proteomics

Top 24 search results
Search of 'gene' within category

SentenceHub: Realtime Generative App for Sentences english. generate Obi Obianom ★ ★ ★ ☆ ☆ (2)

colourpicker: An input control that allows users to select colours tutorial. generate Dean Attali ★ ☆ ☆ ☆ ☆ (1)

BCOapp: Generate BioCompute Objects from Workflows workflow. generate Seven Bridges Genomics ★ ★ ★ ★ ★ (2)

ggPlotteR: Encode Data Visualizations Line by Line ggplot. generate Joachim Goedhart ★ ★ ★ ★ ☆ (3)

shinyEditor: Generate Markdown HTML from MS Word and Excel Text markdown. generate Ayla Navarro ★ ★ ★ ★ ★ (2)

shinyWYSIWYG: WYSIWYG Editor for Shiny App UI and Server Scripts explore. generate Juan C Rodriguez ★ ★ ★ ★ ☆ (2)

DIME: A Gateway to Disease-Gene Networks disease. genes Aridaman Pandit ★ ★ ★ ★ ★ (3)

DNARchitect: Explore Genomic Spatial Interactions explore. genes Alos Diallo ★ ☆ ☆ ☆ ☆ (1)

GENAVi: Streamline gene expression normalization and analysis rnaseq. visualization Alanna Weaver ★ ☆ ☆ ☆ ☆ (1)

SPOTapp: Easy and Swift Profiling Of Transcriptomes rnaseq. analysis Jules Bernardin ★ ★ ★ ★ ☆ (2)

Most Viewed Shiny Applications Here are the top viewed Shiny Applications

FielDHub Perform design of experiments in life sciences doe . experiments . analysis

shinydist Explore statistical probability distributions probability . distribution . visualization

MetaInsight Interactive Network Meta-Analysis and Visualize Tool network . analysis . visualization

pkrshiny Streamlined Non-Compartmental Analysis analysis . pharmacokinetic . visualization

shinyEditor Generate Markdown HTML from MS Word and Excel Text markdown . generate . visualization

shinyNGS Facilitate downstream analysis of RNA-seq data rnaseq . exploratory . analysis

colourpicker An input control that allows users to select colours tutorial . generate . visualization

DTAmetasa Meta-Analysis of Diagnostic Test Accuracy and Sensitivity Analysis meta . analysis . sensitivity

countDownTm A simple countdown timer for use in daily activities daily . activity . exercise

About ShinyAppStore

About the ShinyAppStore platform

ShinyAppStore is the leading platform for showcasing and utilizing a wide range of Shiny applications developed with the shiny R package. We will be expanding access to allow shiny apps built with Python as well. Users can submit and explore applications across various categories, add verified apps to their personal library, and enjoy easy access. The platform features well-designed apps with detailed descriptions and evaluations by users. All applications on ShinyAppStore are user-owned and open source, with the source code readily available for download on our GitHub page.
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