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UNCURL-App: Interactive Database-Driven Analysis of Single Cell RNA Sequencing Data

By Yue Zhang, Shunfu Mao, Sumit Mukherjee, Sreeram Kannan, Georg Seelig

Posted 16 Apr 2020
bioRxiv DOI: 10.1101/2020.04.15.043737

Analysis of single cell RNA sequencing (scRNA-Seq) datasets is a complex and time-consuming process, requiring both biological knowledge and technical skill. In order to simplify and systematize this process, we introduce UNCURL-App, an online GUI-based interactive scRNA-Seq analysis tool. UNCURL-App introduces two key innovations: First, prior knowledge in the form of cell type, anatomy, and Gene Ontology databases is integrated directly with the rest of the analysis process, allowing users to automatically map cell clusters to known cell types based on gene expression. Second, tools for interactive re-analysis allow the user to iteratively create, merge, or delete clusters in order to arrive at an optimal mapping between clusters and cell types. ### Competing Interest Statement The authors have declared no competing interest.

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