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BioinformaticsNature Communications
Peer-reviewed journal article

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

Zhi‐Jie CaoiD, Wei LiniD, Lu SheniD, De-Chang Yang, Ge GaoiD

Abstract

An effective and efficient cell-querying method is critical for integrating existing scRNA-seq data and annotating new data. Herein, we present Cell BLAST, an accurate and robust cell-querying method. Powered by a well-curated reference database and a user-friendly Web server, Cell BLAST (http://cblast.gao-lab.org) provides a one-stop solution for real-world scRNA-seq cell querying and annotation.

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