Evidence map›Paper›PMID 40857552›Full record

ArticleGenomics, proteomics & bioinformatics2025

The GSA Family in 2025: A Broadened Sharing Platform for Multi-omics and Multimodal Data.

Sisi Zhang, Xu Chen, Enhui Jin, Anke Wang, Tingting Chen, Xiaolong Zhang, Junwei Zhu, Lili Dong, Yanling Sun, Caixia Yu and 12 more

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 231 papers.

0numbers the graph read from it
0cells of the map it votes in
231citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

231 citing papers in PubMed.

  1. Trial
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  10. SAV1 in Cooperation With FKBP52 Participates in Implantation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  11. Article
  12. Article
  13. HMMRCell discovery · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Observational
  18. International journal of molecular medicine · 2026
    Article
  19. Article
  20. Article

171 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Sisi ZhangNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0002-3852-4796
Xu ChenNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0001-6102-1751
Enhui JinNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0009-0000-9916-9508
Anke WangNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0002-2565-2334
Tingting ChenNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0003-1296-3093
Xiaolong ZhangNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0002-9968-9818
Junwei ZhuNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0003-4689-3513
Lili DongNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0003-0953-6306
Yanling SunNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0002-3175-3625
Caixia YuNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0002-3882-9979
Yubo ZhouNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0009-0008-1697-3110
Zhuojing FanNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0009-0003-3575-6967
Huanxin ChenNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0003-1293-4495
Shuang ZhaiNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0002-2084-7132
Yubin SunNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0003-3810-7156
Qiancheng ChenNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0009-0005-5675-3858
Jingfa XiaoNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0002-2835-4340
Shuhui SongNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0003-2409-8770
Zhang ZhangNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0001-6603-5060
Yiming BaoNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0002-9922-9723
Yanqing WangNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0002-7985-7941
Wenming ZhaoNational Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.ORCID 0000-0002-4396-8287

Funding

National Key R&D Program of China 2021YFF0703701National Key R&D Program of China 2023YFC2604402National Key R&D Program of China 2023YFC2605702National Natural Science Foundation of China 32030021National Natural Science Foundation of China 32100511National Natural Science Foundation of China 32170678National Natural Science Foundation of China 92374201Strategic Priority Research Program of Chinese Academy of Sciences XDA0460203
6 · The paper itself

Abstract

The Genome Sequence Archive family (GSA family) provides a comprehensive suite of database resources for archiving, retrieving, and sharing multi-omics data for the global academic and industrial communities. It currently comprises four distinct database members: the Genome Sequence Archive (GSA, https://ngdc.cncb.ac.cn/gsa), the Genome Sequence Archive for Human (GSA-Human, https://ngdc.cncb.ac.cn/gsa-human), the Open Archive for Miscellaneous Data (OMIX, https://ngdc.cncb.ac.cn/omix), and the Open Biomedical Imaging Archive (OBIA, https://ngdc.cncb.ac.cn/obia). Compared to its 2021 version, the GSA family has expanded significantly by introducing a new repository, the OBIA, and by comprehensively upgrading the existing databases. Notable enhancements to the existing members include broadening the range of accepted data types, strengthening quality control systems, improving the data retrieval system, and refining data-sharing management mechanisms.

Indexed as

Databases, GeneticGenomicsInformation DisseminationHumansMultiomicsData archivingData sharingGenome Sequence ArchiveHigh-throughput sequencing dataMulti-omics data

Identifiers

PMID40857552
PMCPMC12451262

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.