ISCEBERG : Interactive Single Cell Expression Browser for Exploration of RNAseq data using Graphics

Here we describe our single cell data explorer. This shiny application has been developped to analyze, vizualize and extract informations from single-cell sequencing datasets. ISCEBERG can transform raw counts into filtered, normalized counts and computes clustering, UMAP to provide a Seurat single-cell sequencing dataset from various input formats (H5, MTX, TXT or CSV). ISCEBERG allows the use of preprocessed RDS files as input containing already a Seurat single-cell sequencing dataset. The purpose of this application is to explore much deeper your single-cell datasets without using R code lines. Graphics and associated tables are downloadable. To ensure Reproducibility and Traceability, preprocessed and subclusterized data are provided as Seurat objects (to be re-analyzed or re-loaded later) with a report of all command lines used to generate them.