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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.
Academic Publication The GSA Family in 2025: A Broadened Sharing Platform for Multi-omics and Multimodal Data
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The GSA Family in 2025: A Broadened Sharing Platform for Multi-omics and Multimodal Data
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 globa...
The NHGRI-EBI GWAS Catalog: standards for reusability, sustainability and diversity
Abstract The NHGRI-EBI GWAS Catalog serves as a vital resource for the genetic research community, providing access to the most comprehensive database of human GWAS results. Curre...
A technical review of multi-omics data integration methods: from classical statistical to deep generative approaches
Abstract The rapid advancement of high-throughput sequencing and other assay technologies has resulted in the generation of large and complex multi-omics datasets, offering unprecede...
WebGestalt 2024: faster gene set analysis and new support for metabolomics and multi-omics
Abstract Enrichment analysis, crucial for interpreting genomic, transcriptomic, and proteomic data, is expanding into metabolomics. Furthermore, there is a rising demand for integrat...
AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships
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Frequently Asked Questions (FAQ)
Curated market intelligence mapped to this research.
What is the core focus of the research titled 'The GSA Family in 2025: A Broadened Sharing Platform for Multi-omics and Multimodal Data'?
This literature focuses on: 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 currentl...
Are there open-source GitHub repositories related to The GSA Family in 2025: A Broadened Sharing Platform for Multi-omics and Multimodal Data?
Yes, open-source projects like laishiwen/sven-family (Sven Family is an AI-native product suite that connects creation, collaboration, publishing, and operations into one integrated platform.) are actively building upon these concepts.
Which startups are commercializing the technology behind The GSA Family in 2025: A Broadened Sharing Platform for Multi-omics and Multimodal Data?
Products like ShowcasePro are bringing this to market. Their focus is: Convert photos into elegant designs for marketing + sharing.
What other academic literature is closely related to 'The GSA Family in 2025: A Broadened Sharing Platform for Multi-omics and Multimodal Data'?
Yes, highly correlated activity was mapped. An entry titled 'The GSA Family in 2025: A Broadened Sharing Platform for Multi-omics and Multimodal Data' discusses this: Abstract The Genome Sequence Archive family (GSA family) provides a comprehensive suite of database resources for archiving, retr...
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Commercial Realization
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GitHublaishiwen/sven-family
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