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Updated: Oct 11, 2025
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Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons
Published on: August 29, 2014
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The Sequence Read Archive: a decade more of explosive growth
Kenneth Katz1, Oleg Shutov1, Richard Lapoint1
1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
Nucleic Acids Research
|December 1, 2021
Summary
The Sequence Read Archive (SRA) enhances data access and analysis by updating storage and using taxonomic insights to improve metadata. This aids researchers in selecting and utilizing sequencing data for discovery.
Area of Science:
- Bioinformatics
- Genomics
- Data Science
Background:
- The Sequence Read Archive (SRA) is a crucial repository for raw sequencing data and alignment information.
- Ensuring data accessibility and discoverability is vital for reproducibility and scientific advancement.
Purpose of the Study:
- To report modifications in SRA storage aimed at improving data accessibility.
- To showcase the utility of taxonomic analysis in augmenting metadata for better data selection.
- To present novel applications of taxonomic analysis within the SRA context.
Main Methods:
- Implementing storage changes within the Sequence Read Archive.
- Performing analyses to integrate taxonomic information into existing metadata.
- Evaluating the impact of enhanced metadata on data selection and utilization.
Main Results:
- Storage modifications have been implemented to increase data access.
- Augmented metadata with taxonomic insight aids users in selecting relevant sequencing data.
- Three unexpected applications of taxonomic analysis were identified.
Conclusions:
- Updates to the Sequence Read Archive enhance data accessibility and usability.
- Taxonomic analysis is a powerful tool for enriching metadata and facilitating scientific discovery.
- The SRA continues to evolve to support the growing needs of the research community.
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