BioTuring Inc. has officially launched BioTuring Browser, the software that integrates state-of-the-art analyses for single-cell RNA-seq data, from transcript quantification, batch effect removal to downstream analyses, all delivered in an interactive visualization dashboard.
Latest advances in single-cell RNA-seq (scRNA-seq) technologies have enabled scientists to look at individual transcriptomic profiles of millions of cells at a time. However, challenges remain when it comes to finding the software with powerful analyses and strong visualization dashboards to handle massive data, with hundreds of thousands to millions of data points, but still keeping it simple enough for any biologist to use.
Addressing these major challenges, BioTuring Browser (BBrowser) incorporates state-of-the-art visualizations and end-to-end analyses for scRNA-seq data in an interactive dashboard. With BBrowser, any biologists can easily go from FASTQ files to downstream analyses, with 2- and 3-D plots that can visualize up to 1.3M cells interactively. The package works well on a standard personal laptop.
Here’s to name a few of analyses integrated in BBrowser:
- Transcript quantification with outstanding accuracy and speed using Hera-T
- Batch effect removal using MNN algorithm
- Interactive 2- and 3-D t-SNE plot of up to 1.3M cells, visualizing two genes’ expression simultaneously
- Marker gene detection and real-time cell type prediction, using a rich knowledge base for known marker genes from latest single-cell RNA-seq studies. The prediction algorithm is now optimized for brain and immune cells, and will continue to expand to all the main cell types in the body.
- Sub-clustering on any selected populations
- Interactive differential expression analysis dashboard
- View composition of a population
In addition, BBrowser also provides scientists with easy access to latest scRNA-seq datasets from published studies, making it easy to view and reanalyze valuable past works and compare such with their current studies. Above all, this library of published datasets promises to remove any barriers to access published data and make science completely transparent.
Apart from single-cell RNA-seq data analysis, the Browser even provides a module for bulk RNA-seq data analysis, incorporating fast and accurate transcript quantification (using Hera), quality control, and interactive analytics dashboards such as differential expression analysis and dimensionality reduction.
BBrowser is now available for Windows, Mac, and Linux at www.bioturing.com/product/bbrowser.
See more videos of BBrowser: https://www.youtube.com/watch?v=nvrQ3meFtk8&list=PLgssfInwsHRbhV3FcCi4c99mzpVRWkrLZ