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GSA: Genome Sequence Archive(*)
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://big...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5339404/ https://www.ncbi.nlm.nih.gov/pubmed/28387199 http://dx.doi.org/10.1016/j.gpb.2017.01.001 |
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author | Wang, Yanqing Song, Fuhai Zhu, Junwei Zhang, Sisi Yang, Yadong Chen, Tingting Tang, Bixia Dong, Lili Ding, Nan Zhang, Qian Bai, Zhouxian Dong, Xunong Chen, Huanxin Sun, Mingyuan Zhai, Shuang Sun, Yubin Yu, Lei Lan, Li Xiao, Jingfa Fang, Xiangdong Lei, Hongxing Zhang, Zhang Zhao, Wenming |
author_facet | Wang, Yanqing Song, Fuhai Zhu, Junwei Zhang, Sisi Yang, Yadong Chen, Tingting Tang, Bixia Dong, Lili Ding, Nan Zhang, Qian Bai, Zhouxian Dong, Xunong Chen, Huanxin Sun, Mingyuan Zhai, Shuang Sun, Yubin Yu, Lei Lan, Li Xiao, Jingfa Fang, Xiangdong Lei, Hongxing Zhang, Zhang Zhao, Wenming |
author_sort | Wang, Yanqing |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5339404 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-53394042017-03-13 GSA: Genome Sequence Archive(*) Wang, Yanqing Song, Fuhai Zhu, Junwei Zhang, Sisi Yang, Yadong Chen, Tingting Tang, Bixia Dong, Lili Ding, Nan Zhang, Qian Bai, Zhouxian Dong, Xunong Chen, Huanxin Sun, Mingyuan Zhai, Shuang Sun, Yubin Yu, Lei Lan, Li Xiao, Jingfa Fang, Xiangdong Lei, Hongxing Zhang, Zhang Zhao, Wenming Genomics Proteomics Bioinformatics Database 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. Elsevier 2017-02 2017-02-02 /pmc/articles/PMC5339404/ /pubmed/28387199 http://dx.doi.org/10.1016/j.gpb.2017.01.001 Text en © 2017 The Authors. Production and hosting by Elsevier B.V. on behalf of Beijing Institute of Genomics, Chinese Academy of Sciences and Genetics Society of China. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Database Wang, Yanqing Song, Fuhai Zhu, Junwei Zhang, Sisi Yang, Yadong Chen, Tingting Tang, Bixia Dong, Lili Ding, Nan Zhang, Qian Bai, Zhouxian Dong, Xunong Chen, Huanxin Sun, Mingyuan Zhai, Shuang Sun, Yubin Yu, Lei Lan, Li Xiao, Jingfa Fang, Xiangdong Lei, Hongxing Zhang, Zhang Zhao, Wenming GSA: Genome Sequence Archive(*) |
title | GSA: Genome Sequence Archive(*) |
title_full | GSA: Genome Sequence Archive(*) |
title_fullStr | GSA: Genome Sequence Archive(*) |
title_full_unstemmed | GSA: Genome Sequence Archive(*) |
title_short | GSA: Genome Sequence Archive(*) |
title_sort | gsa: genome sequence archive(*) |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5339404/ https://www.ncbi.nlm.nih.gov/pubmed/28387199 http://dx.doi.org/10.1016/j.gpb.2017.01.001 |
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