BBrowser

BBrowser enables analysis and interpretation of single-cell omics datasets to derive gene expression and surface protein insights, including integration of CITE-seq transcriptomic and proteomic data.

Key Features:

• Curated Single-Cell Database: A comprehensive database specifically curated for single-cell omics datasets.
• Big Data Analytics Layer: An analytics layer capable of handling large-scale data processing and analysis of single-cell data.
• Data Visualization Module: A visualization module that generates graphical representations for exploratory analysis of single-cell datasets.

Scientific Applications:

• Single-Cell Gene Expression and Surface Protein Analysis: Analysis of gene expression profiles alongside surface protein information in single-cell studies.
• CITE-seq Integration: Integration of transcriptomic and proteomic data from CITE-seq (Cellular Indexing of Transcriptomes and Epitopes by sequencing) experiments.

Methodology:

Combines a curated single-cell database, a big data analytics layer for large-scale processing and analysis, and a visualization module to link data access, analysis, and visualization.