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CDCP: a visualization and analyzing platform for single-cell datasets

By Yuejiao Li, Tao Yang, Tingting Lai, Lijin You, Fan Yang, Jiaying Qiu, Lina Wang, Wensi Du, Cong Hua, Zhicheng Xu, Jia Cai, Zhiyong Li, Yiqun Liu, Ling Li, Minwen Zhang, Jing Chen, Lei Zhang, Dongsheng Chen, Shiping Liu, Liang Wu, Wenjun Zeng, Bo Wang, Longqi Liu, Fengzhen Chen, Xiaofeng Wei

Posted 25 Aug 2021
bioRxiv DOI: 10.1101/2021.08.24.457455

Advances in single-cell sequencing technology provide a unique approach to characterize the heterogeneity and distinctive functional states at single-cell resolution, leading to rapid accumulation of large-scale single-cell datasets. A big challenge undertaken by research community especially bench scientists is how to simplify the way of retrieving, processing and analyzing the huge number of datasets. Towards this end, we developed Cell-omics Data Coordinate Platform (CDCP),a platform that aims to share and integrate comprehensive single-cell datasets, and to provide a network analysis toolkit for personalized analysis. CDCP contains single-cell RNA-seq and ATAC-seq datasets of 474,572 cells from 6,459 samples in species covering humans, non-human primate models and other animals. It allows querying and visualization of interested datasets and the expression profile of distinct genes in different cell clusters and cell types. Besides, this platform provides an analysis pipeline for non-bioinformatician experimental scientists to address questions not focused by the submitters of the datasets. In summary, CDCP provides a user-friendly interface for researchers to explore, visualize, analyze, download and submit published single-cell datasets and it will be a valuable resource for investigators to explore the global transcriptome profiling at single-cell level.

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