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The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types

📅 Published: August 1, 2021 👤 Tingting Chen, Xu Chen, Sisi Zhang et al. 📖 Genomics Proteomics & Bioinformatics 📊 1,883 citations
AI-Generated Summary

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. OMIX, as a critical complement to the two resources mentioned above, is an open archive for miscellaneous data.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 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/).
  • 2 Compared with the 2017 version, GSA has been significantly updated in data model, online functionalities, and web interfaces.
  • 3 GSA-Human, as a new partner of GSA, is a data repository specialized in human genetics-related data with controlled access and security.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Aug 1, 2021
Journal Genomics Proteomics & Bioinformatics
DOI 10.1016/j.gpb.2021.08.001
Citations 1,883
Authors Tingting Chen, Xu Chen, Sisi Zhang, Junwei Zhu, Bixia Tang