A single cell
expression database
that is truly accessible

Interactively
access 22944778 cells from published works

Instantly access and reanalyze a single cell database that is interactive, uniformly annotated and ready for visualization.

Query gene expression

Find differentially expressed genes between two groups

Find marker genes and enriched processes

Sub-cluster any cell populations

Leverage this single cell expression database for cell type prediction

Search populations that own similar expression profiles to your selected cells, and view their cell type labels.

Bioturing scRNA-seq software greatly accelerates and enables our research, through easy to use intuitive analytics, visualization and extensive database of curated and pre-processed experiments

Eugene Bolotin - Senior Bioinformatics Scientist, Kite Pharma

The BioTuring Browser is a game changer in the Immune Oncology field to speed up single cell data sharing among biologists, immunologists and bioinformaticians. Empowering collaboration in annotating cells, discovering unknown cell populations, cell states or cell interactions is crucial to draw the best picture ever of the highly heterogenous tumor microenvironment. Users have access to a growing public as well as their private knowledge base, which makes the BioTuring platform a swiss-army-knife for better understanding cells at the single cell level.

Molecular Oncology and Immunology Lab, IFOM

BBrowser allows biologists to handle scRNA-seq data without programming knowledge. Intuitive operation. Functions are updated. Public data can be imported. It is very helpful.

Researcher (Pharmacology), Chugai Pharmaceutical

The Bioturing Browser with single cell add-on provides one of the simplest interfaces for quickly moving from raw data to cluster analyses with minimal experience. The built-in HeraT alignment processes are remarkably quick and less computationally intensive than other scRNA-seq offerings.

Chris Ahuja - University of Toronto.

Bioturing Browser is an intuitive and powerful software for exploration and visualization of scRNA-Seq data. Its fast and easy access to the vast amounts of curated datasets is very helpful for our drug discovery research.

Niv Sabath - Senior Scientist, Compugen

Publications

Looking for more resources?