Year: 2020
Type: preprint
Abstract: Motivation Analysis of single cell RNA sequencing (scRNA-seq) datasets is a complex and time-consuming process, requiring both biological knowledge and technical skill. With the rapid growth in scRNA-seq datasets, there is a need to simplify and systematize this process. Results We introduce UNCURL-App, an online GUI-based interactive tool which integrates the scRNA-seq analysis pipeline with prior knowledge. UNCURL-App introduces two key innovations: First, cell type databases are integrated directly with the rest of the analysis process, allowing the user to identify potential cell types or pathways directly from the data. Second, tools for interactive re-analysis allow the user to create, merge, or delete clusters. In addition, UNCURL-App integrates multiple stages of the data analysis pipeline into a single interface, including dimensionality reduction, clustering, differential expression, and cell type identification. Availability The web tool is available at https://uncurl.cs.washington.edu/ . Source code is available at https://github.com/yjzhang/uncurl_app Contact [email protected]
Institutions: University of Washington, insitro, inc. (United States)
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Funder: National Institutes of Health
OpenAlex ID: W3017179219