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DRscDB:一个用于跨物种数据挖掘和数据比较的单细胞RNA测序资源。

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

作者信息

Hu Yanhui, Tattikota Sudhir Gopal, Liu Yifang, Comjean Aram, Gao Yue, Forman Corey, Kim Grace, Rodiger Jonathan, Papatheodorou Irene, Dos Santos Gilberto, Mohr Stephanie E, Perrimon Norbert

机构信息

Department of Genetics, Blavatnik Institute, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA.

Drosophila RNAi Screening Center, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA.

出版信息

Comput Struct Biotechnol J. 2021 Apr 11;19:2018-2026. doi: 10.1016/j.csbj.2021.04.021. eCollection 2021.

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 . 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, 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 and relevant datasets from human and other model organisms. DRscDB is based on manual curation of 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. Finally, DRscDB serves as a web-based user interface that allows users to mine gene expression data from scRNA-seq studies and perform cell cluster enrichment analyses pertaining to various scRNA-seq studies, both within and across species.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac0d/8085783/2614545d6cd1/ga1.jpg

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