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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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Search of 'rnaseq' within category
ROGUE: RNA-Seq Analysis and Biomarker Discovery with R rnaseq. rna Alvin Farrel ★ ★ ★ ★ ★ (2)
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shinySeq: Discover, Analyze, and Interpret RNA-Seq Data Analysis rnaseq. analysis Alanna Weaver ★ ★ ★ ★ ☆ (2)
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shinyNGS: Facilitate downstream analysis of RNA-seq data rnaseq. exploratory Alanna Weaver ★ ★ ★ ★ ★ (2)
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START: Elegant RNAseq analysis and visualization resource rnaseq. analysis Jessica Minnier ★ ☆ ☆ ☆ ☆ (1)
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GENAVi: Streamline gene expression normalization and analysis rnaseq. visualization Alanna Weaver ★ ☆ ☆ ☆ ☆ (1)
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dCellerate: Unlock Single-Cell RNA-Seq Insights with Ease rnaseq. analysis Ayla Navarro ★ ★ ★ ★ ★ (2)
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genomeSidekick: Simplified RNA-seq and ATAC-seq Analysis rnaseq. analysis Doug Chapski ★ ★ ★ ★ ☆ (4)
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SPOTapp: Easy and Swift Profiling Of Transcriptomes rnaseq. analysis Jules Bernardin ★ ★ ★ ★ ☆ (2)
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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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