Literature DB >> 34850094

The Sequence Read Archive: a decade more of explosive growth.

Kenneth Katz1, Oleg Shutov1, Richard Lapoint1, Michael Kimelman1, J Rodney Brister1, Christopher O'Sullivan1.   

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. Published by Oxford University Press on behalf of Nucleic Acids Research 2021.

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Year:  2022        PMID： 34850094      PMCID： PMC8728234          DOI： 10.1093/nar/gkab1053

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN： 0305-1048            Impact factor:   16.971


  11 in total

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Review 4.  Demystified. Human endogenous retroviruses.

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6.  The Sequence Read Archive: explosive growth of sequencing data.

Authors:  Yuichi Kodama; Martin Shumway; Rasko Leinonen
Journal:  Nucleic Acids Res       Date:  2011-10-18       Impact factor: 16.971

7.  STAT: a fast, scalable, MinHash-based k-mer tool to assess Sequence Read Archive next-generation sequence submissions.

Authors:  Kenneth S Katz; Oleg Shutov; Richard Lapoint; Michael Kimelman; J Rodney Brister; Christopher O'Sullivan
Journal:  Genome Biol       Date:  2021-09-20       Impact factor: 13.583

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Journal:  Sci Data       Date:  2016-03-15       Impact factor: 6.444

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Authors:  Martin Steinegger; Steven L Salzberg
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  6 in total

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5.  From biomedical cloud platforms to microservices: next steps in FAIR data and analysis.

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6.  Deep sequencing of short capped RNAs reveals novel families of noncoding RNAs.

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Journal:  Genome Res       Date:  2022-08-12       Impact factor: 9.438
  6 in total

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