CellDepot: A Unified Repository for scRNA-seq Data and Visual Exploration.

J Mol Biol

Research Department, Biogen, Inc., 225 Binney St, Cambridge, MA 02142, USA. Electronic address:

Published: June 2022

AI Article Synopsis

  • CellDepot is an integrated web app that houses over 270 datasets from 8 species, offering a user-friendly platform for scientists to explore and compare single-cell RNA-seq (scRNA-seq) data.
  • The application features a robust data management system allowing users to upload datasets and use advanced querying tools to filter by attributes like species and cell types, enhancing data accessibility.
  • With tools like cellxgene VIP for interactive exploration, CellDepot enables in-depth analysis of gene expression and cell composition, and is open-source under the MIT license to encourage community contributions and usage.

Article Abstract

CellDepot containing over 270 datasets from 8 species and many tissues serves as an integrated web application to empower scientists 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 capabilities. 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 graphical multi-logic, multi-condition query builder and convenient filtering tool backed by MySQL database system, allows users to quickly find the datasets of interest and compare the expression of gene(s) across these. 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 by leveraging more than 20 frequently applied plotting functions and high-level analysis methods in single cell research. In summary, the web portal available at http://celldepot.bxgenomics.com, prompts large scale single cell data sharing, facilitates meta-analysis and visualization, and encourages scientists to contribute to the single-cell community in a tractable and collaborative way. Finally, CellDepot is released as open-source software under MIT license to motivate crowd contribution, broad adoption, and local deployment for private datasets.

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Source
http://dx.doi.org/10.1016/j.jmb.2021.167425DOI Listing

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