Cell BLAST: Searching large-scale scRNA-seq database via unbiased cell embedding

Large amount of single-cell RNA sequencing data produced by various technologies is accumulating rapidly. An efficient cell querying method facilitates integrating existing data and annotating new data. Here we present a novel cell querying method Cell BLAST based on deep generative modeling, together with a well-curated reference database and a user-friendly Web interface at http://cblast.gao-lab.org, as an accurate and robust solution to large-scale cell querying.