Journal of Molecular BiologyBioinformaticsPeer-reviewed journal article
CellDepot: A unified repository for scRNA-seq data and visual exploration
Dongdong LiniD, Yirui CheniD, Soumya NegiiD, Derrick Cheng, Zhengyu Ouyang, David SextoniD, Kejie LiiD, Baohong ZhangiD
Abstract
CellDepot serves as an integrated web application to assist users in exploring single-cell RNA-seq (scRNA-seq) datasets and comparing the datasets among various studies through a user-friendly interface with advanced visualization and analytical tools. To begin with, it provides an efficient data management system that users can upload single cell datasets and query the database by multiple attributes such as species and cell types. In addition, the advanced query function incorporated in MySQL database system and its conditional filtering, allows users to quickly query and compare the expression of gene(s) across the datasets of interest. Moreover, by embedding the cellxgene VIP tool, CellDepot enables fast exploration of individual dataset in the manner of interactivity and scalability to gain more refined insights such as cell composition, gene expression profiles, and differentially expressed genes among cell types. In summary, the web portal allows large scale single cell data sharing, analysis and visualization for supporting decision-making, and encouraging scientists to contribute to the single-cell community in a tractable and collaborative way. Finally, CellDepot is released as open-source software to motivate crowd contribution, broad adoption, and local deployment for private data.
- assay: scRNA-seq
- research focus: database / resource
- research focus: benchmarking
- approach: statistical model
- Citations
- 14
- FWCI
- 0.86
- Field percentile
- top 29%
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