The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Earth BioGenome Project: Sequencing life for the future of life
Lewin, H. A., Robinson, G. E., Kress, W. J., Baker, W. J., Coddington, J., Crandall, K. A., Durbin, R., Edwards, S. V., Forest, F., Gilbert, M. T. P., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1720115115 · Cited by 962
Cited by
Partners, C.-N. M. A., Bao, Y., Bai, X., Bu, C., Chen, H., Chen, H., Chen, K., Chen, M., Chen, M., Chen, M., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkae978 · Cited by 412
Self-citationPartners, C.-N. M. A., Bai, X., Bao, Y., Bei, S., Bu, C., Cao, R., Cao, Y., Cen, H., Chao, J., Chen, F., et al. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkad1078 · Cited by 348
Self-citationLiu, S., Xiu, J., Zhu, C., Meng, K., Li, C., Han, R., Du, T., Li, L., Xu, L., Liu, R., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-27044-7 · Cited by 118
Self-citationBecker, A., Schmartz, G. P., Gröger, L., Grammes, N., Galata, V., Philippeit, H., Weiland, J., Ludwig, N., Meese, E., Tierling, S., et al. (2022) · Genomics, Proteomics & Bioinformatics · doi:10.1016/j.gpb.2021.08.009 · Cited by 102
Becker, A., Schmartz, G. P., Gröger, L., Grammes, N., Galata, V., Philippeit, H., Weiland, J., Ludwig, N., Meese, E., Tierling, S., et al. (2021) · doi:10.1101/2021.02.07.21251098 · Cited by 102
Metadata
- Authors
- 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.
- Venue
- Genomics, Proteomics & Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2021-08-01
- Volume
- 19
- Issue
- 4
- Pages
- 578-583
- ISSN
- 1672-0229 (ISSN-L)
- 2210-3244
- OpenAlex
- W3194665116
- Cited by
- 1,816
- References
- 1
- FWCI
- 237.99
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types. https://app.cochat.ai/papers/10.1016/j.gpb.2021.08.001
- The paper
- 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., . . . Zhao, W. (2021). The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types. Genomics, Proteomics & Bioinformatics. https://doi.org/10.1016/j.gpb.2021.08.001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
