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A systematic genome-wide analysis of zebrafish protein-coding gene function

Author

Listed:
  • Ross N. W. Kettleborough

    (Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Elisabeth M. Busch-Nentwich

    (Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Steven A. Harvey

    (Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Christopher M. Dooley

    (Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Ewart de Bruijn

    (Hubrecht Institute, KNAW and University Medical Center Utrecht)

  • Freek van Eeden

    (The University of Sheffield)

  • Ian Sealy

    (Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Richard J. White

    (Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Colin Herd

    (Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Isaac J. Nijman

    (Hubrecht Institute, KNAW and University Medical Center Utrecht)

  • Fruzsina Fényes

    (Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Selina Mehroke

    (Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Catherine Scahill

    (Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Richard Gibbons

    (Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Neha Wali

    (Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Samantha Carruthers

    (Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Amanda Hall

    (Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Jennifer Yen

    (Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

  • Edwin Cuppen

    (Hubrecht Institute, KNAW and University Medical Center Utrecht)

  • Derek L. Stemple

    (Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus)

Abstract

A project to identify the phenotypes of disruptive mutations in every zebrafish protein-coding gene has so far revealed potentially disruptive mutations in more than 38% of the protein-coding genes, and the phenotypic consequences of each allele can be assessed using a novel multi-allelic phenotyping scheme.

Suggested Citation

  • Ross N. W. Kettleborough & Elisabeth M. Busch-Nentwich & Steven A. Harvey & Christopher M. Dooley & Ewart de Bruijn & Freek van Eeden & Ian Sealy & Richard J. White & Colin Herd & Isaac J. Nijman & Fr, 2013. "A systematic genome-wide analysis of zebrafish protein-coding gene function," Nature, Nature, vol. 496(7446), pages 494-497, April.
    • Handle: RePEc:nat:nature:v:496:y:2013:i:7446:d:10.1038_nature11992
    DOI: 10.1038/nature11992
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    Cited by:

    1. Maxat Kulmanov & Robert Hoehndorf, 2020. "DeepPheno: Predicting single gene loss-of-function phenotypes using an ontology-aware hierarchical classifier," PLOS Computational Biology, Public Library of Science, vol. 16(11), pages 1-22, November.
    2. Federica Diofano & Karolina Weinmann & Isabelle Schneider & Kevin D Thiessen & Wolfgang Rottbauer & Steffen Just, 2020. "Genetic compensation prevents myopathy and heart failure in an in vivo model of Bag3 deficiency," PLOS Genetics, Public Library of Science, vol. 16(11), pages 1-24, November.
    3. Natalja Kurbatova & Jeremy C Mason & Hugh Morgan & Terrence F Meehan & Natasha A Karp, 2015. "PhenStat: A Tool Kit for Standardized Analysis of High Throughput Phenotypic Data," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-16, July.

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