A next-generation platform for single-cellmulti-omics data

Meet BioTuring Browser and its new CITE-seq dashboard, a complete package for interactively exploring single-cell gene expression data in parallel with surface protein information

Access 16295374 cellsfrom published works

A new way to reviewpublished data

Instantly access and reanalyze latest single-cell RNA-seq and CITE-seq datasets from publications, all uniformly annotated, and ready for visualization.

Transform raw
in-house data
to insights

Not just creating a gateway to published works, BioTuring Single-cell Browser is an end-to-end solution for YOUR own single-cell RNA sequencing data.


Quantify transcripts at unparalleled speed using Hera-T. No commands are required.

Batch effect removal

Retain true biological variances with various batch effect removal methods:



• Harmony

Dimension reduction and clustering

• Perform dimension reduction with t-SNE and UMAP

• Cluster the cells by k-means and graph-based clustering

• Explore novel cell sub-types on an interactive sub-clustering dashboard

Annotation and prediction

• Predict cell types in real time upon selecting any groups of cells. The knowledge base for prediction can be customized to your own definition.

• Explore marker genes and run enrichment analysis


• Track the compositional changes in different treatments, or which treatment enriches different cell types.

• Find differentially expressed genes in any two groups of cells such as two cell types, sub-types, conditions, or any two stages of the disease

the synergy of
single-cell multi-omics

Perform parallel analysis combining single-cell RNA-seq data, TCR-seq data and cell surface information

CITE-Seq data analysis:
  • t-SNE based on protein information
  • Query protein expression across all cells
  • Feature plot
Pairing clonotype information:
  • Explore clonotype abundances
  • View antigen information
  • Find differentially expressed genes between 2 clonotypes

Get scalable
3D visualizations
on a laptop

BioTuring Single-cell Browser is optimized to visualize up to 1.3 million single cells at a time on a standard laptop with interactive t-SNE and UMAP.


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

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


Get started with

BioTuring Single Cell Browser