The Sequence Read Archive: a decade more of explosive growth

Abstract The Sequence Read Archive (SRA, https://www.ncbi.nlm.nih.gov/sra/) stores raw sequencing data and alignment information to enhance reproducibility and facilitate new discoveries through data analysis. Here we note changes in storage designed to increase access and highlight analyses that au...

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Bibliographic Details
Published in:Nucleic acids research Vol. 50; no. D1; pp. D387 - D390
Main Authors: Katz, Kenneth, Shutov, Oleg, Lapoint, Richard, Kimelman, Michael, Brister, J Rodney, O’Sullivan, Christopher
Format: Journal Article
Language:English
Published: England Oxford University Press 07.01.2022
Subjects:
Bacteria - classification
Bacteria - genetics
Base Sequence
Database Issue
Databases, Genetic
High-Throughput Nucleotide Sequencing
Internet
Metadata - statistics & numerical data
Phylogeny
Reproducibility of Results
SARS-CoV-2 - genetics
Sequence Analysis, RNA
Software
Viruses - classification
Viruses - genetics
ISSN:0305-1048, 1362-4962, 1362-4962
Online Access:Get full text
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Summary:Abstract The Sequence Read Archive (SRA, https://www.ncbi.nlm.nih.gov/sra/) stores raw sequencing data and alignment information to enhance reproducibility and facilitate new discoveries through data analysis. Here we note changes in storage designed to increase access and highlight analyses that augment metadata with taxonomic insight to help users select data. In addition, we present three unanticipated applications of taxonomic analysis.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:0305-1048
1362-4962
1362-4962
DOI:10.1093/nar/gkab1053