- Published
- 2021-08-01
- Venue
- Genomics Proteomics & Bioinformatics, vol. 19, no. 4, pp. 578-583
- Cited by
- 1,826
- Open access
- Yes, gold
- DOI
- 10.1016/j.gpb.2021.08.001
- PubMed
- 34400360
Abstract
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.
Cite this paper
Formatted from the source metadata, not typed by hand. For a whole reference list, use the citation generator or ask your assistant through Find Research.
- APA 7
Chen, T., Chen, X., Zhang, S., Zhu, J., Tang, B., Wang, A., Dong, L., Zhang, Z., Zhang, Z., Yu, C., Sun, Y., Chi, L., Chen, H., Zhai, S., Sun, Y., Li, L., Zhang, X., Xiao, J., Bào, Y., … Zhao, W. (2021). The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types. Genomics Proteomics & Bioinformatics, 19(4), 578–583. https://doi.org/10.1016/j.gpb.2021.08.001
- MLA 9
Chen, Tingting, et al. "The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types." Genomics Proteomics & Bioinformatics, vol. 19, no. 4, 2021, pp. 578–583, https://doi.org/10.1016/j.gpb.2021.08.001.
- Chicago
Chen, Tingting, Xu Chen, Sisi Zhang, Junwei Zhu, Bixia Tang, Anke Wang, Lili Dong, et al. "The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types." Genomics Proteomics & Bioinformatics 19, no. 4 (2021): 578–583. https://doi.org/10.1016/j.gpb.2021.08.001.
- GOST
Chen T., Chen X., Zhang S. [и др.] The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types // Genomics Proteomics & Bioinformatics. — 2021. — Vol. 19, № 4. — P. 578–583. — URL: https://doi.org/10.1016/j.gpb.2021.08.001
- BibTeX
@article{chen2021genome, title = {{The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types}}, author = {Tingting Chen and Xu Chen and Sisi Zhang and Junwei Zhu and Bixia Tang and Anke Wang and Lili Dong and Zhewen Zhang and Zhewen Zhang and Caixia Yu and Yanling Sun and Lianjiang Chi and Huanxin Chen and Shuang Zhai and Yubin Sun and Lan Li and Xin Zhang and Jingfa Xiao and Yīmíng Bào and Yanqing Wang and Zhang Zhang and Zhang Zhang and Wenming Zhao}, journal = {Genomics Proteomics \& Bioinformatics}, year = {2021}, volume = {19}, number = {4}, pages = {578--583}, doi = {10.1016/j.gpb.2021.08.001}, url = {https://doi.org/10.1016/j.gpb.2021.08.001} }- RIS
TY - JOUR AU - Chen, Tingting AU - Chen, Xu AU - Zhang, Sisi AU - Zhu, Junwei AU - Tang, Bixia AU - Wang, Anke AU - Dong, Lili AU - Zhang, Zhewen AU - Zhang, Zhewen AU - Yu, Caixia AU - Sun, Yanling AU - Chi, Lianjiang AU - Chen, Huanxin AU - Zhai, Shuang AU - Sun, Yubin AU - Li, Lan AU - Zhang, Xin AU - Xiao, Jingfa AU - Bào, Yīmíng AU - Wang, Yanqing AU - Zhang, Zhang AU - Zhang, Zhang AU - Zhao, Wenming TI - The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types JO - Genomics Proteomics & Bioinformatics VL - 19 IS - 4 SP - 578 EP - 583 PY - 2021 DA - 2021/08/01 DO - 10.1016/j.gpb.2021.08.001 UR - https://doi.org/10.1016/j.gpb.2021.08.001 ER -
Ask Claude about this paper
Add Find Research to Claude or ChatGPT and ask in plain language. The assistant reads this record, finds the papers around it and cites only what it actually found:
- “Summarize doi:10.1016/j.gpb.2021.08.001 and list its main limitations.”
- “Find newer studies that test the same question, with free PDFs.”
- “Cite this and five related papers in APA for my literature review.”
Setup takes about a minute: add the connector, then start the free trial.
Record from OpenAlex; open-access location from Unpaywall and the indexes. Find Research links only to legal copies.