Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

HSCGD

General information

URL: http://www.hscgd.com
Full name:
Description: HSCGD is an open-access database dedicated to single-cell whole-genome sequencing data, integrating 74,154 human cells from 63 public datasets across 23 cell types and 17 amplification methods. It provides curated metadata, browsing/search tools, visualization, and online analysis utilities to explore cellular heterogeneity at the whole-genome resolution.
Year founded: 2024
Last update: 2024-10-29
Version: v1.0
Accessibility:
Unaccessible
Country/Region: China

Classification & Tag

Data type:
DNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Southeast University
Address: State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
City: Nanjing
Province/State: Jiangsu
Country/Region: China
Contact name (PI/Team): Jing Tu
Contact email (PI/Helpdesk): jtu@seu.edu.cn

Publications

39470706
HSCGD: a comprehensive database of single-cell whole-genome data and metadata. [PMID: 39470706]
Jiye Fu, Shiyang He, Yixuan Yang, Zitong Chen, Yi Qiao, Na Lu, Zuhong Lu, Jing Tu

Single-cell whole-genome sequencing is a powerful tool for uncovering mutations in individual cells. In recent times, the generation of vast amounts of data has significantly advanced our understanding of key biological processes, including cell development and tumor progression. This rapid accumulation of data underscores the urgent need for a comprehensive resource platform to manage and utilize this information effectively. To address this need, we introduce HSCGD, the first open-access and comprehensive database dedicated to the collection, integration, analysis, and visualization of single-cell whole-genome data and metadata. The current release of HSCGD includes processed single-cell whole-genome sequencing data and curated metadata of 74 154 human cells derived from 63 public single-cell datasets, involving 23 cell types and 17 major single-cell whole-genome amplification methods. HSCGD is designed to help researchers interested in cellular heterogeneity explore and utilize whole genome data at the single-cell level by providing browsing, searching, visualization, downloading and online tools. The database can be accessed from the following URL: http://www.hscgd.com.

Nucleic Acids Res. 2025:53(D1) | 2 Citations (from Europe PMC, 2026-03-28)

Ranking

All databases:
3988/6932 (42.484%)
Genotype phenotype and variation:
580/1012 (42.787%)
Metadata:
406/723 (43.983%)
3988
Total Rank
2
Citations
2
z-index

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Record metadata

Created on: 2025-07-01
Curated by:
Jinbiao Wang [2025-08-21]
Yuhao Zeng [2025-08-01]
Yiran Zhan [2025-07-01]