GSA: Genome Sequence Archive*

By Yanqing Wang, Fuhai Song, Junwei Zhu, Sisi Zhang, Yadong Yang, Tingting Chen, Bixia Tang, Lili Dong, N. Ding, Qian Zhang and 11 more. Genomics, Proteomics & Bioinformatics, 2017

525 citations recorded by the source corpus.

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; http://bigd.big.ac.cn/gsa or http://gsa.big.ac.cn), 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.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/748f1c15b1c32b038e362b00d3bf82349897e7ea

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In Molecular Biology

1. Zhen Yang
2. Tong Chen
3. Haonan Yuan
4. Meiping Lu
5. Tao Jiang
6. Xubo Qian
7. Yīmíng Bào
8. Wanying Wu

Citations in the corpus

• Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2024 (2023, background): “The Genome Sequence Archive (GSA; https://ngdc.cncb.ac.cn/ gsa ) ( 50 ,51 ) is an archival database for raw sequence reads, which provides the global communities with free and open services for data submission, data storage and data sharing.”
• A practical guide to amplicon and metagenomic analysis of microbiome data (2020, methodology): “ANOVA, analysis of variance; ASV, amplicon sequence variants; CAS-CMI, Chinese Academy of Sciences Initiative of Microbiome; CPCoA, constrained principal coordinate analysis; FAPROTAX, Functional Annotation of Prokaryotic Taxa; GB, gigabyte; GSA, Genome Sequence Archive; GUI, graphical user interfac”
• Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022 (2021, background): “cn/gsa) (16,17) is a public data repository for archiving raw sequence reads.”
• Advances and Trends in Omics Technology Development (2022, unknown): “Genome Sequence Archive (GSA) (278) developed by the Chinese National Genomic Data Center has been launched to compliment this giant-size database portfolio, with GSA-human recently announced as part of GSA to provide a repository for human genetic related omics data (279).”