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The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types
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 resource...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039563/ https://www.ncbi.nlm.nih.gov/pubmed/34400360 http://dx.doi.org/10.1016/j.gpb.2021.08.001 |
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author | Chen, Tingting Chen, Xu Zhang, Sisi Zhu, Junwei Tang, Bixia Wang, Anke Dong, Lili Zhang, Zhewen Yu, Caixia Sun, Yanling Chi, Lianjiang Chen, Huanxin Zhai, Shuang Sun, Yubin Lan, Li Zhang, Xin Xiao, Jingfa Bao, Yiming Wang, Yanqing Zhang, Zhang Zhao, Wenming |
author_facet | Chen, Tingting Chen, Xu Zhang, Sisi Zhu, Junwei Tang, Bixia Wang, Anke Dong, Lili Zhang, Zhewen Yu, Caixia Sun, Yanling Chi, Lianjiang Chen, Huanxin Zhai, Shuang Sun, Yubin Lan, Li Zhang, Xin Xiao, Jingfa Bao, Yiming Wang, Yanqing Zhang, Zhang Zhao, Wenming |
author_sort | Chen, Tingting |
collection | PubMed |
description | 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 (https://ngdc.cncb.ac.cn/gsa/), GSA for Human (GSA-Human, https://ngdc.cncb.ac.cn/gsa-human/), and Open Archive for Miscellaneous Data (OMIX, https://ngdc.cncb.ac.cn/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. |
format | Online Article Text |
id | pubmed-9039563 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-90395632022-04-27 The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types Chen, Tingting Chen, Xu Zhang, Sisi Zhu, Junwei Tang, Bixia Wang, Anke Dong, Lili Zhang, Zhewen Yu, Caixia Sun, Yanling Chi, Lianjiang Chen, Huanxin Zhai, Shuang Sun, Yubin Lan, Li Zhang, Xin Xiao, Jingfa Bao, Yiming Wang, Yanqing Zhang, Zhang Zhao, Wenming Genomics Proteomics Bioinformatics Database 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 (https://ngdc.cncb.ac.cn/gsa/), GSA for Human (GSA-Human, https://ngdc.cncb.ac.cn/gsa-human/), and Open Archive for Miscellaneous Data (OMIX, https://ngdc.cncb.ac.cn/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. Elsevier 2021-08 2021-08-13 /pmc/articles/PMC9039563/ /pubmed/34400360 http://dx.doi.org/10.1016/j.gpb.2021.08.001 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Database Chen, Tingting Chen, Xu Zhang, Sisi Zhu, Junwei Tang, Bixia Wang, Anke Dong, Lili Zhang, Zhewen Yu, Caixia Sun, Yanling Chi, Lianjiang Chen, Huanxin Zhai, Shuang Sun, Yubin Lan, Li Zhang, Xin Xiao, Jingfa Bao, Yiming Wang, Yanqing Zhang, Zhang Zhao, Wenming The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types |
title | The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types |
title_full | The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types |
title_fullStr | The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types |
title_full_unstemmed | The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types |
title_short | The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types |
title_sort | genome sequence archive family: toward explosive data growth and diverse data types |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039563/ https://www.ncbi.nlm.nih.gov/pubmed/34400360 http://dx.doi.org/10.1016/j.gpb.2021.08.001 |
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