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Related Experiment Video

Updated: Jun 6, 2026

3' End Sequencing Library Preparation with A-seq2

3' End Sequencing Library Preparation with A-seq2

Published on: October 10, 2017

The sequence read archive.

Rasko Leinonen¹, Hideaki Sugawara, Martin Shumway

¹European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. rasko@ebi.ac.uk

Nucleic Acids Research

|November 11, 2010

Summary

This summary is machine-generated.

The Sequence Read Archive (SRA) manages the rapid growth of next-generation sequencing data. It provides a public repository for preserving experimental data, as required by journals and funding agencies.

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Area of Science:

Bioinformatics
Genomics
Data Science

Background:

Next-generation sequencing (NGS) technologies have led to a dramatic increase in biological data generation.
The Sequence Read Archive (SRA) serves as the primary public repository for this NGS data.
Journals and funding bodies increasingly mandate data deposition in public archives for scientific record preservation.

Purpose of the Study:

To describe the content and structure of the Sequence Read Archive (SRA).
To detail the SRA's support for various sequencing platforms.
To provide recommendations for data submission levels and formats.

Main Methods:

The SRA is operated by the International Nucleotide Sequence Database Collaboration (INSDC), including NCBI, EBI, and DDBJ.
Data accessibility is provided through multiple international portals.
The article outlines the SRA's strategies for managing increasing data volumes.

Main Results:

The SRA archives a vast amount of next-generation sequencing data.
The archive supports a wide range of sequencing platforms.
Recommended submission guidelines and formats are provided to users.

Conclusions:

The SRA is a crucial resource for the preservation and accessibility of next-generation sequencing data.
The INSDC collaboration ensures the long-term management of this growing data resource.
Adherence to recommended submission practices facilitates data integration and analysis.