BxGenomics enables biologists to easily analyze single-cell and bulk RNA-Seq data, identify changed genes and enriched pathways, and further visualize the results and compare across projects using interactive data mining tools.
We developed an integrated web database including single-cell RNA-Seq data from over 400 published datasets. It provides an efficient data management system for single cell datasets. Users can search the database by multiple attributes such as publication, key words, species and cell types. Advanced filter and across-dataset gene expression tools enable users to quickly find the datasets of interest and compare the expression of gene(s) across these.
Importantly, each scRNA dataset can be loaded into the cellxgene VIP tool, which enables fast exploration of individual dataset in the manner of interactivity and scalability to gain more refined insights such as cell composition, gene expression profiles, and differentially expressed genes among cell types by leveraging more than 20 frequently applied plotting functions and high-level analysis methods in single cell research.