Flapjack-graphical genotype visualization

Iain Milne, Paul Shaw, Gordon Stephen, Micha Bayer, Linda Cardle, William T. B. Thomas, Andrew J. Flavell, David Marshall

    Research output: Contribution to journalArticle

    94 Citations (Scopus)

    Abstract

    New software tools for graphical genotyping are required that can routinely handle the large data volumes generated by the high-throughput single-nucleotide polymorphism ( SNP) platforms, genotyping-by-sequencing and other comparable genotyping technologies. Flapjack has been developed to facilitate analysis of these data, providing real time rendering with rapid navigation and comparisons between lines, markers and chromosomes, with visualization, sorting and querying based on associated data, such as phenotypes, quantitative trait loci or other mappable features.

    Original languageEnglish
    Pages (from-to)3133-3134
    Number of pages2
    JournalBioinformatics
    Volume26
    Issue number24
    DOIs
    Publication statusPublished - 15 Dec 2010

    Cite this

    Milne, I., Shaw, P., Stephen, G., Bayer, M., Cardle, L., Thomas, W. T. B., ... Marshall, D. (2010). Flapjack-graphical genotype visualization. Bioinformatics, 26(24), 3133-3134. https://doi.org/10.1093/bioinformatics/btq580
    Milne, Iain ; Shaw, Paul ; Stephen, Gordon ; Bayer, Micha ; Cardle, Linda ; Thomas, William T. B. ; Flavell, Andrew J. ; Marshall, David. / Flapjack-graphical genotype visualization. In: Bioinformatics. 2010 ; Vol. 26, No. 24. pp. 3133-3134.
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    abstract = "New software tools for graphical genotyping are required that can routinely handle the large data volumes generated by the high-throughput single-nucleotide polymorphism ( SNP) platforms, genotyping-by-sequencing and other comparable genotyping technologies. Flapjack has been developed to facilitate analysis of these data, providing real time rendering with rapid navigation and comparisons between lines, markers and chromosomes, with visualization, sorting and querying based on associated data, such as phenotypes, quantitative trait loci or other mappable features.",
    author = "Iain Milne and Paul Shaw and Gordon Stephen and Micha Bayer and Linda Cardle and Thomas, {William T. B.} and Flavell, {Andrew J.} and David Marshall",
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    Milne, I, Shaw, P, Stephen, G, Bayer, M, Cardle, L, Thomas, WTB, Flavell, AJ & Marshall, D 2010, 'Flapjack-graphical genotype visualization', Bioinformatics, vol. 26, no. 24, pp. 3133-3134. https://doi.org/10.1093/bioinformatics/btq580

    Flapjack-graphical genotype visualization. / Milne, Iain; Shaw, Paul; Stephen, Gordon; Bayer, Micha; Cardle, Linda; Thomas, William T. B.; Flavell, Andrew J.; Marshall, David.

    In: Bioinformatics, Vol. 26, No. 24, 15.12.2010, p. 3133-3134.

    Research output: Contribution to journalArticle

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    T1 - Flapjack-graphical genotype visualization

    AU - Milne, Iain

    AU - Shaw, Paul

    AU - Stephen, Gordon

    AU - Bayer, Micha

    AU - Cardle, Linda

    AU - Thomas, William T. B.

    AU - Flavell, Andrew J.

    AU - Marshall, David

    PY - 2010/12/15

    Y1 - 2010/12/15

    N2 - New software tools for graphical genotyping are required that can routinely handle the large data volumes generated by the high-throughput single-nucleotide polymorphism ( SNP) platforms, genotyping-by-sequencing and other comparable genotyping technologies. Flapjack has been developed to facilitate analysis of these data, providing real time rendering with rapid navigation and comparisons between lines, markers and chromosomes, with visualization, sorting and querying based on associated data, such as phenotypes, quantitative trait loci or other mappable features.

    AB - New software tools for graphical genotyping are required that can routinely handle the large data volumes generated by the high-throughput single-nucleotide polymorphism ( SNP) platforms, genotyping-by-sequencing and other comparable genotyping technologies. Flapjack has been developed to facilitate analysis of these data, providing real time rendering with rapid navigation and comparisons between lines, markers and chromosomes, with visualization, sorting and querying based on associated data, such as phenotypes, quantitative trait loci or other mappable features.

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    M3 - Article

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    Milne I, Shaw P, Stephen G, Bayer M, Cardle L, Thomas WTB et al. Flapjack-graphical genotype visualization. Bioinformatics. 2010 Dec 15;26(24):3133-3134. https://doi.org/10.1093/bioinformatics/btq580