Li, M., Ang, K. S., Teo, B., Rom, U., Nguyen, M. N., Maurer-Stroh, S., & Chen, J. (2024). Rediscovering publicly available single-cell data with the DISCO platform. Nucleic Acids Research, 53(D1), D932–D938. https://doi.org/10.1093/nar/gkae1108
Abstract:
Abstract
Single-cell RNA sequencing (scRNA-seq) has emerged as the key technique for studying transcriptomics at the single-cell level. In our previous work, we presented the DISCO database (https://www.immunesinglecell.org/) that integrates publicly available human scRNA-seq data. We now introduce an enhanced version of DISCO, which has expanded fourfold to include >100 million cells from >17 thousand samples. It provides uniformly realigned read count tables, curated metadata, integrated tissue and phenotype specific atlases, and harmonized cell type annotations. It also hosts a single-cell enhanced knowledgebase of cell type ontology and gene signatures relating to cell types and phenotypes. Lastly, it offers a suite of tools for data retrieval, integration, annotation, and mapping, allowing users to construct customized atlases and perform integrated analysis with their own data. These tools are also available in a standalone R package for offline analysis.
License type:
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Funding Info:
This research / project is supported by the Agency for Science, Technology and Research - AI, Analytics and Informatics (AI3) Horizontal Technology Programme Office (HTPO) seed grant
Grant Reference no. : C211118015
This research / project is supported by the Ministry of Health, Singapore - Open Fund Individual Research Grant, MOH
Grant Reference no. : OFIRG18nov-0103
This research / project is supported by the National Research Foundation, Singapore, and Singapore Ministry of Health's National Medical Research Council - Open Fund Large Collaborative Grant
Grant Reference no. : MOH-OFLCG18May-0003
This research / project is supported by the Singapore National Medical Research Council - Open Fund Large Collaborative Grant
Grant Reference no. : NMRC/OFLCG/003/2018
This research / project is supported by the Agency for Science, Technology and Research - Use-Inspired Basic Research (UIBR) Fund (Identify novel targets for cell type-specific immunotherapy using spatial & single-cell omics in conjunction with AI analytics)
Grant Reference no. :
Description:
This is an open access article published in Nucleic Acids Research following peer review. The version of record Li, M., Ang, K. S., Teo, B., Rom, U., Nguyen, M. N., Maurer-Stroh, S., & Chen, J. (2024). Rediscovering publicly available single-cell data with the DISCO platform. Nucleic Acids Research, 53(D1), D932–D938. https://doi.org/10.1093/nar/gkae1108 is available online at: https://doi.org/10.1093/nar/gkae1108