This is the repository for our submission to the RStudio Shiny Contest.
We are happy to present you iSEE, the interactive SummarizedExperiment Explorer!
In brief, iSEE can be your best friend for interactive and reproducible exploration and visualization of genomics data.
iSEE (interactive SummarizedExperiment Explorer) is designed for interactive exploration of high-throughput biological data sets stored in the SummarizedExperiment S4 class. It enables simultaneous visualisation of experimental data, associated metadata and analysis results, empowering users to discover new relationships in their data. iSEE combines shiny with other packages designed for interactive user interfaces (e.g., shinydashboard, shinjs, shinyAce, colourpicker, htmltools), with further extensions to deliver a full-featured application accessible to both novice users and experienced developers.
You can find our post in the RStudio Community here. From there, you can reach all the related links:
- RStudio Cloud project: https://rstudio.cloud/project/230765
- Live app: https://kevinrue.shinyapps.io/isee-shiny-contest/
- GitHub repository: https://github.com/kevinrue/isee-shiny-contest
Want to discover more about iSEE?
- Source code for the iSEE package: https://github.com/csoneson/iSEE
- Documentation and vignettes: http://bioconductor.org/packages/release/bioc/html/iSEE.html
- Published article: https://f1000research.com/articles/7-741/v1
- Kevin Rue-Albrecht (https://github.com/kevinrue)
- Charlotte Soneson (https://github.com/csoneson)
- Federico Marini (https://github.com/federicomarini)
- Aaron Lun (https://github.com/LTLA)