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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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The Sequence Read Archive: explosive growth of sequencing data.

Yuichi Kodama1, Martin Shumway, Rasko Leinonen

  • 1Center for Information Biology and DNA Data Bank of Japan, National Institute of Genetics, Research Organization of Information and Systems, Yata, Mishima 411-8540, Japan. ykodama@genes.nig.ac.jp

Nucleic Acids Research
|October 20, 2011
PubMed
Summary

The Sequence Read Archive (SRA) archives next-generation sequencing data for reproducible science. It provides updated structures and formats to manage explosive data growth from scientific projects.

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Area of Science:

  • Genomics and Bioinformatics
  • Data Archiving and Management
  • Scientific Reproducibility

Background:

  • Next-generation sequencing (NGS) platforms generate high-throughput, low-cost data.
  • Scientific projects increasingly rely on NGS data, necessitating robust archiving.
  • The Sequence Read Archive (SRA) serves as a primary public repository for NGS data.

Purpose of the Study:

  • To present the content and structure of the SRA.
  • To report on updated metadata structures, submission file formats, and supported sequencing platforms.
  • To outline strategies for managing the challenge of explosive data growth in sequencing.

Main Methods:

  • Description of the SRA's content and organizational structure.
  • Reporting on enhancements to metadata schemas and submission file formats.
  • Overview of supported next-generation sequencing platforms.
  • Discussion of approaches to scalable data management.

Main Results:

  • The SRA, a collaborative effort (NCBI, EBI, DDBJ), provides accessible public archiving for NGS data.
  • Updated metadata structures and submission formats enhance data organization and retrieval.
  • The SRA supports a wide range of sequencing platforms.
  • Strategies are in place to address the exponential increase in sequencing data volume.

Conclusions:

  • The SRA is crucial for enabling reproducible scientific research by archiving vast amounts of NGS data.
  • Continuous updates to SRA infrastructure ensure its capacity to handle growing data volumes and diverse platforms.
  • The SRA facilitates global access to sequencing data through its distributed network (NCBI, EBI, DDBJ).
  • Effective data management strategies are essential for the future of genomic research.