The GSA Family in 2025: A Broadened Sharing Platform for Multi-Omics and Multimodal Data

作者：Sisi Zhang, Xu Chen, Enhui Jin, Anke Wang, Tingting Chen, Xiaolong Zhang, Junwei Zhu, Lili Dong, Yanling Sun, Caixia Yu, Yubo Zhou, Zhuojing Fan, Huanxin Chen, Shuang Zhai, Yubin Sun, Qiancheng Chen, Jingfa Xiao, Shuhui Song, Zhang Zhang, Yīmíng Bào, Yanqing Wang, Wenming Zhao · 发表于：bioRxiv (Cold Spring Harbor Laboratory) · 年份：2025 · DOI：10.1101/2025.03.31.646270 · 被引用次数：5 · 研究领域：Bioinformatics and Genomic Networks、Biomedical Text Mining and Ontologies

Abstract The Genome Sequence Archive family (GSA family) provides a suite of database resources for archiving, retrieving, and sharing multi-omics data for the global academic and industrial communities. It currently comprises four distinct database members: the Genome Sequence Archive (GSA, https://ngdc.cncb.ac.cn/gsa/ ), the Genome Sequence Archive for Human (GSA-Human, https://ngdc.cncb.ac.cn/gsa-human/ ), the Open Archive for Miscellaneous Data (OMIX, https://ngdc.cncb.ac.cn/omix/ ), and the Open Biomedical Imaging Archive (OBIA, https://ngdc.cncb.ac.cn/obia ). Compared to the 2021 version, the GSA family has significantly expanded by introducing a new database member, the OBIA, and through comprehensive upgrades to the existing ones. Notable enhancements to the existing members include broadening the range of accepted data types, enhancing the quality control systems, fine-tuning the data retrieval system, and refining the data-sharing management mechanisms.