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