Data exploration is crucial to the comprehension of large biological datasets, generated by high-throughput assays such as high throughput sequencing, with interactivity as a key functionality to generate insightful outputs. Most existing tools for intuitive and interactive visualization are limited to specific assays or analyses, and lack support for reproducible analysis.
Sparked from a Bioconductor community-driven effort, we have built a general-purpose tool, [_iSEE_](https://bioconductor.org/packages/iSEE/) -- "interactive SummarizedExperiment Explorer", designed for interactive exploration of any experimental data which can be stored in a SummarizedExperiment object. _iSEE_ is an R package implemented using [RStudio Shiny](https://shiny.rstudio.com/), and designed to be compatible with many existing R/Bioconductor packages for high-throughput biological data.
See also the full workshop presentation here.