A modern platform for single cell transcriptome analysis and spatial transcriptomics


Advancing single cell transcriptome analysis

Interactively explore 19493875 cells from published works

Access and query insights from a single cell database of millions of cells, fully annotated with cell type labels and experimental metadata.

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Transform raw in-house single-cell transcriptome data into insights

Import your fastq files, count matrices, Seurat or Scanpy objects for analysis, and reveal the biological stories inside them.

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Single-cell transcriptome analysis

Study gene expression dynamics, identify cell types, explore differential expression across conditions

CITE-seq data analysis

Unravel protein expression together with gene activity

Combine TCR information with gene expression

Study clonotype expansion in combination with single-cell RNA-seq data

Spatial transcriptomics data analysis made easy

Load your spatial transcriptomics data and explore the gene activity across different locations on the tissue

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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


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