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BioinformaticsComputational and Structural Biotechnology Journal
Peer-reviewed journal article

DRscDB: A single-cell RNA-seq resource for data mining and data comparison across species

Yanhui HuiD, Sudhir Gopal TattikotaiD, Yifang LiuiD, Aram ComjeaniD, Yue GaoiD, Corey Forman, Grace S. KimiD, Jonathan RodigeriD, Irene PapatheodorouiD, Gilberto dos SantosiD, Stephanie Elizabeth MohriD, Norbert PerrimoniD

Abstract

With the advent of single-cell RNA sequencing (scRNA-seq) technologies, there has been a spike in studies involving scRNA-seq of several tissues across diverse species including Drosophila. Although a few databases exist for users to query genes of interest within the scRNA-seq studies, search tools that enable users to find orthologous genes and their cell type-specific expression patterns across species are limited. Here, we built a new search database, called DRscDB (https://www.flyrnai.org/tools/single_cell/web/) to address this need. DRscDB serves as a comprehensive repository for published scRNA-seq datasets for Drosophila and the relevant datasets from human and other model organisms. DRscDB is based on manual curation of Drosophila scRNA-seq studies of various tissue types and their corresponding analogous tissues in vertebrates including zebrafish, mouse, and human. Of note, our search database provides most of the literature-derived marker genes, thus preserving the original analysis of the published scRNA-seq datasets. DRscDB serves as a web-based user interface that allows users to mine, utilize and compare gene expression data pertaining to scRNA-seq datasets from the published literature.

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02 /Specification & Classification

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