Tool: BioTuring Browser: Making single-cell sequencing data in published studies really accessible!
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Dear Colleagues,

Today, we are happy to release BioTuring Browser, a modern application for accessing published sequencing data, focusing on single-cell transcriptome. With a web browser, scientists can easily read published papers; with BioTuring Browser, they can actually “read” the underneath sequencing data, and answers many questions that were not revealed in the papers.

In this beta release, BioTuring Browser provides:

  • 3D and 2D PCA/t-SNE visualization of single cells, scaled up to 1.3 million cells on a standard laptop.
  • Batch effect removal
  • Comparison of two conditions (Differentially Expressed Genes and Comparing Cluster Structure)
  • Support automatic and manual cell-type annotations
  • Support real-time cell type prediction
  • Support color mapping for graph-based clustering, k-means clustering, and gene expression.
  • Sub-clustering of a chosen cell population.
  • Marker gene identification
  • A comprehensive knowledge base for gene functions.
  • Access data from new and highly cited single-cell papers in neuroscience

  • Also, the Bulk-RNA seq add-on provides all standard analyses, e.g., PCA, differential expression, gene ontology, pathway enrichment, tissue prediction, etc.

You can download BioTuring Browser at https://bioturing.com/product/bbrowser

Currently, BioTuring Browser is available for MacOS and Windows (beta). We hope to have the Linux version available soon.

Thank you!

Son Pham & BioTuring Team.

Below are some screenshots/videos of BioTuring Browser

3D t-SNE scatter plot scatter plot Single cell annotation Marker gene identification enter image description here

ADD COMMENTlinkeditmoderate 16 months ago sonpham • 560 • updated 11 months ago Jennifer Pham • 290
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Great work! Is it commercial?

ADD REPLYlinkeditmoderate 16 months ago
anne.bros
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You can view published data free of charge. For analyzing private data, we charge by each add-on.

ADD REPLYlinkeditmoderate 15 months ago
Jennifer Pham
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Is there a documentation that explicitely explains all relevant steps, such as filtering criteria, data normalization etc?

ADD REPLYlinkeditmoderate 11 months ago
ATpoint
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I've got 2 batches to handle. How to remove the batch effects with this tool? Can you share some instructions?

ADD REPLYlinkeditmoderate 14 months ago
tan
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Here's a short video of BioTuring Browser:

ADD COMMENTlinkeditmoderate 16 months ago Jennifer Pham • 290
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Batch effect removal and differential expression analysis are now incorporated in BioTuring Browser:

ADD COMMENTlinkeditmoderate 15 months ago Jennifer Pham • 290
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BBrowser now supports pairing clonotype data with expression data:

ADD COMMENTlinkeditmoderate 11 months ago Jennifer Pham • 290

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