Transform raw in-house single-cell transcriptome data into insights
Import your fastq files, count matrices, Seurat or Scanpy objects for analysis, and reveal the biological stories inside them.
Single-cell transcriptome analysis
Study gene expression dynamics, identify cell types, explore differential expression across conditions
CITE-seq data analysis
Unravel protein expression together with gene activity
Combine TCR information with gene expression
Study clonotype expansion in combination with single-cell RNA-seq data
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
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.
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.
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.