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cgmisc: enhanced genome-wide association analyses and visualization

  • Marcin Kierczak
  • , Jagoda Jablonska
  • , Simon Forsberg
  • , Matteo Bianchi
  • , Katarina Tengvall
  • , Mats Pettersson
  • , Veronika Scholz
  • , Jennifer R. S. Meadows
  • , Patric Jern
  • , Örjan Carlborg
  • , Kerstin Lindblad-Toh

    Publikation: Bidrag till tidskriftArtikel i vetenskaplig tidskriftPeer review

    Sammanfattning

    The Summary: High-throughput genotyping and sequencing technologies facilitate studies of complex genetic traits and provide new research opportunities. The increasing popularity of genome-wide association studies (GWAS) leads to the discovery of new associated loci and a better understanding of the genetic architecture underlying not only diseases, but also other monogenic and complex phenotypes. Several softwares are available for performing GWAS analyses, R environment being one of them.Results: We present cgmisc, an R package that enables enhanced data analysis and visualization of results from GWAS. The package contains several utilities and modules that complement and enhance the functionality of the existing software. It also provides several tools for advanced visualization of genomic data and utilizes the power of the R language to aid in preparation of publication-quality figures. Some of the package functions are specific for the domestic dog (Canis familiaris) data.
    OriginalspråkEngelska
    Sidor (från-till)3830-3831
    Antal sidor2
    TidskriftBioinformatics
    Volym31
    Nummer23
    DOI
    StatusPublicerad - 2015

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