End-to-end package for single cell transcriptome analysis

Transform raw in-house data to insights

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

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Quantification

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

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Batch effect removal

Retain true biological variances with various batch effect removal methods:

  • CCA
  • MNN
  • 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
Comparison
  • 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

Harness the synergy of single-cell multi-omics

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

Get scalable
3D visualization
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

Publications

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