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Powerful single-cell transcriptome analysis in a simple UI

Explore hundreds of curated single-cell transcriptome datasets, along with your own data, through interactive visualizations and analytics. The software also supports multimodal omics, e.g. CITE-seq, TCR-seq, spatial transcriptomics.

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Interactively explore the world's largest single-cell expression database

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 data into insights

Not just creating a gateway to published works, BBrowser is an end-to-end solution for YOUR own single-cell data. Import your fastq files, count matrices, Seurat or Scanpy objects and reveal the biological stories inside them.

mRNA expressiontSNE / UMAPManagement sharingCustom formats / Processed formatAnalysis plotsSpatial dataMultiple slidesData versioningClonotypeTrajectory