Database Commons

a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database Profile


General information

Full name: Genome Sequence Archive
Description: The Genome Sequence Archive (GSA) is a data repository for archiving raw sequence reads. It accepts data submissions from all over the world and provides free access to all publicly available data for global scientific communities.
Year founded: 2015
Last update: 2019-07-29
Version: 2.1
Real time : Checking...
Country/Region: China

Classification and Labelling

Data type:
Data object:
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Contact information

University/Institution: Beijing Institute of Genomics, Chinese Academy of Sciences
Address: No.1 Beichen West Road, Chaoyang District
City: Beijing
Province/State: Beijing
Country/Region: China
Contact name (PI/Team): Wenming Zhao
Contact email (PI/Helpdesk):


The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types. [PMID: 34400360]
Chen T, Chen X, Zhang S, Zhu J, Tang B, Wang A, Dong L, Zhang Z, Yu C, Sun Y, Chi L, Chen H, Zhai S, Sun Y, Lan L, Zhang X, Xiao J, Bao Y, Wang Y, Zhang Z, Zhao W.

The Genome Sequence Archive (GSA) is a data repository for archiving raw sequence data, which provides data storage and sharing services for worldwide scientific communities. Considering explosive data growth with diverse data types, here we present the GSA family by expanding into a set of resources for raw data archive with different purposes, namely, GSA (, GSA for Human (GSA-Human,, and Open Archive for Miscellaneous Data (OMIX, Compared with the 2017 version, GSA has been significantly updated in data model, online functionalities, and web interfaces. GSA-Human, as a new partner of GSA, is a data repository specialized in human genetics-related data with controlled access and security. OMIX, as a critical complement to the two resources mentioned above, is an open archive for miscellaneous data. Together, all these resources form a family of resources dedicated to archiving explosive data with diverse types, accepting data submissions from all over the world, and providing free open access to all publicly available data in support of worldwide research activities.

Genomics Proteomics Bioinformatics. 2021:() | 23 Citations (from Europe PMC, 2022-05-14)
GSA: Genome Sequence Archive. [PMID: 28387199]
Wang Y, Song F, Zhu J, Zhang S, Yang Y, Chen T, Tang B, Dong L, Ding N, Zhang Q, Bai Z, Dong X, Chen H, Sun M, Zhai S, Sun Y, Yu L, Lan L, Xiao J, Fang X, Lei H, Zhang Z, Zhao W.

With the rapid development of sequencing technologies towards higher throughput and lower cost, sequence data are generated at an unprecedentedly explosive rate. To provide an efficient and easy-to-use platform for managing huge sequence data, here we present Genome Sequence Archive (GSA; or, a data repository for archiving raw sequence data. In compliance with data standards and structures of the International Nucleotide Sequence Database Collaboration (INSDC), GSA adopts four data objects (BioProject, BioSample, Experiment, and Run) for data organization, accepts raw sequence reads produced by a variety of sequencing platforms, stores both sequence reads and metadata submitted from all over the world, and makes all these data publicly available to worldwide scientific communities. In the era of big data, GSA is not only an important complement to existing INSDC members by alleviating the increasing burdens of handling sequence data deluge, but also takes the significant responsibility for global big data archive and provides free unrestricted access to all publicly available data in support of research activities throughout the world. Copyright © 2017. Production and hosting by Elsevier Ltd.

Genomics Proteomics Bioinformatics. 2017:15(1) | 223 Citations (from Europe PMC, 2022-05-14)


All databases:
206/5177 (96.04%)
Raw bio-data:
20/510 (96.275%)
17/541 (97.043%)
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Record metadata

Created on: 2016-05-05
Curated by:
Zhang Sisi [2022-01-26]
Zhang Zhang [2021-09-15]
chen xu [2019-11-06]
Lina Ma [2018-06-08]
Lina Ma [2018-05-25]
Lina Ma [2017-06-19]
Zhang Zhang [2016-05-29]