Sisi Zhang 张思思, Xu Chen 陈旭, Enhui Jin 金恩惠, Anke Wang 王安可, Tingting Chen 陈婷婷, Xiaolong Zhang 张小龙, Junwei Zhu 朱军伟, Lili Dong 董丽莉, Yanling Sun 孙艳玲, Caixia Yu 俞彩霞, Yubo Zhou 周榆博, Zhuojing Fan 范卓静, Huanxin Chen 陈焕新, Shuang Zhai 翟爽, Yubin Sun 孙玉彬, Qiancheng Chen 陈乾成, Jingfa Xiao 肖景发, Shuhui Song 宋述慧, Zhang Zhang 章张, Yiming Bao 鲍一明, Yanqing Wang 王彦青, Wenming Zhao 赵文明
{"title":"2025年的GSA家族：一个扩展的多组学和多模式数据共享平台。","authors":"Sisi Zhang 张思思, Xu Chen 陈旭, Enhui Jin 金恩惠, Anke Wang 王安可, Tingting Chen 陈婷婷, Xiaolong Zhang 张小龙, Junwei Zhu 朱军伟, Lili Dong 董丽莉, Yanling Sun 孙艳玲, Caixia Yu 俞彩霞, Yubo Zhou 周榆博, Zhuojing Fan 范卓静, Huanxin Chen 陈焕新, Shuang Zhai 翟爽, Yubin Sun 孙玉彬, Qiancheng Chen 陈乾成, Jingfa Xiao 肖景发, Shuhui Song 宋述慧, Zhang Zhang 章张, Yiming Bao 鲍一明, Yanqing Wang 王彦青, Wenming Zhao 赵文明","doi":"10.1093/gpbjnl/qzaf072","DOIUrl":null,"url":null,"abstract":"<p><p>The Genome Sequence Archive family (GSA family) provides a comprehensive 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 its 2021 version, the GSA family has expanded significantly by introducing a new repository, the OBIA, and by comprehensively upgrading the existing databases. Notable enhancements to the existing members include broadening the range of accepted data types, strengthening quality control systems, improving the data retrieval system, and refining data-sharing management mechanisms.</p>","PeriodicalId":94020,"journal":{"name":"Genomics, proteomics & bioinformatics","volume":" ","pages":""},"PeriodicalIF":7.9000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12451262/pdf/","citationCount":"0","resultStr":"{\"title\":\"The GSA Family in 2025: A Broadened Sharing Platform for Multi-omics and Multimodal Data.\",\"authors\":\"Sisi Zhang 张思思, Xu Chen 陈旭, Enhui Jin 金恩惠, Anke Wang 王安可, Tingting Chen 陈婷婷, Xiaolong Zhang 张小龙, Junwei Zhu 朱军伟, Lili Dong 董丽莉, Yanling Sun 孙艳玲, Caixia Yu 俞彩霞, Yubo Zhou 周榆博, Zhuojing Fan 范卓静, Huanxin Chen 陈焕新, Shuang Zhai 翟爽, Yubin Sun 孙玉彬, Qiancheng Chen 陈乾成, Jingfa Xiao 肖景发, Shuhui Song 宋述慧, Zhang Zhang 章张, Yiming Bao 鲍一明, Yanqing Wang 王彦青, Wenming Zhao 赵文明\",\"doi\":\"10.1093/gpbjnl/qzaf072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The Genome Sequence Archive family (GSA family) provides a comprehensive 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 its 2021 version, the GSA family has expanded significantly by introducing a new repository, the OBIA, and by comprehensively upgrading the existing databases. Notable enhancements to the existing members include broadening the range of accepted data types, strengthening quality control systems, improving the data retrieval system, and refining data-sharing management mechanisms.</p>\",\"PeriodicalId\":94020,\"journal\":{\"name\":\"Genomics, proteomics & bioinformatics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":7.9000,\"publicationDate\":\"2025-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12451262/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Genomics, proteomics & bioinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/gpbjnl/qzaf072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genomics, proteomics & bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/gpbjnl/qzaf072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The GSA Family in 2025: A Broadened Sharing Platform for Multi-omics and Multimodal Data.
The Genome Sequence Archive family (GSA family) provides a comprehensive 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 its 2021 version, the GSA family has expanded significantly by introducing a new repository, the OBIA, and by comprehensively upgrading the existing databases. Notable enhancements to the existing members include broadening the range of accepted data types, strengthening quality control systems, improving the data retrieval system, and refining data-sharing management mechanisms.
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