The Swiss trade hub, Basel, scorching hot in July this time around, has hosted the ISMB/ECCB 2019 conference, a leading world forum in bioinformatics.

The ability to profile gene expressions at the single cell level has already revolutionized our understanding of immune systems, diseases such as cancers, and more.

Our team has presented Single-cell Orange, an analysis and visualization tool enabling highly interactive work with single-cell gene expression data. Efforts from the past year have culminated in an easy-to-use software that enables a surprisingly flexible exploratory data analysis, projections, clustering and gene marker discovery without coding!

Read more in Bioinformatics.


Interactivity turns scOrange’s workflows into an explorative data analysis tool. Shown is a simple workflow that loads the single-cell RNA sequencing data and displays it in the t-SNE plot.