The iSEE
package is a flexible, powerful and extendible application to explore any dataset stored in SummarizedExperiment objects, including single cell and spatially resolved data.
iSEE
enables a multitude of panels to gain in-depth insight in your data; it does so combining interactivity and reproducibility, and providing an ideal companion to CELLxGENE for deeper dives into data.
library("remotes")
remotes::install_github("imbeimainz/iUSEiSEE",
dependencies = TRUE,
build_vignettes = TRUE)
- Open the
iUSEiSEE.Rproj
project file - Navigate to the
vignettes
folder - Make sure the datasets are included in the
datasets
subfolder (if using Seurat or AnnData) - Open the individual Rmarkdown files and execute their content live!
- Short presentation,
iSEE
: Harry met Sally for interactive and reproducible data exploration - Installation of the dependencies & tech check
- Retrieval of the data + Inspecting the processing steps so far
- Overview on iSEE: panel by panel, learning Data + Visual + Selection parameters
- Hands on with the full workshop
- Going through the iSEE cookbook: "What if all I need is some recipes?"
- Latest developments in the iSEE universe: iSEE for DE and pathways
- Got more than just one dataset? iSEEhub and iSEEindex
- iSEEfier: starting things up in a breeze
- Got some own data? Some space for additional questions and setting up iSEE on that