TASUKE+: a web-based platform for exploring GWAS results and large-scale resequencing data

DOI DOI PDF PDF PubMed ほか1件をすべて表示 一部だけ表示 被引用文献16件 参考文献44件 オープンアクセス
  • Masahiko Kumagai
    Advanced Analysis Center, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-8602, Japan
  • Daiki Nishikawa
    DYNACOM Co., Ltd, Chiba 261-7125, Japan
  • Yoshihiro Kawahara
    Advanced Analysis Center, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-8602, Japan
  • Hironobu Wakimoto
    BITS Co., Ltd, Tokyo 101-0062, Japan
  • Ryutaro Itoh
    DYNACOM Co., Ltd, Chiba 261-7125, Japan
  • Norio Tabei
    DYNACOM Co., Ltd, Chiba 261-7125, Japan
  • Tsuyoshi Tanaka
    Advanced Analysis Center, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-8602, Japan
  • Takeshi Itoh
    Advanced Analysis Center, National Agriculture and Food Research Organization, Tsukuba, Ibaraki 305-8602, Japan

この論文をさがす

説明

<jats:title>Abstract</jats:title><jats:p>Recent revolutionary advancements in sequencing technologies have made it possible to obtain mass quantities of genome-scale sequence data in a cost-effective manner and have drastically altered molecular biological studies. To utilize these sequence data, genome-wide association studies (GWASs) have become increasingly important. Hence, there is an urgent need to develop a visualization tool that enables efficient data retrieval, integration of GWAS results with diverse information and rapid public release of such large-scale genotypic and phenotypic data. We developed a web-based genome browser TASUKE+ (https://tasuke.dna.affrc.go.jp/), which is equipped with the following functions: (i) interactive GWAS results visualization with genome resequencing data and annotation information, (ii) PCR primer design, (iii) phylogenetic tree reconstruction and (iv) data sharing via the web. GWAS results can be displayed in parallel with polymorphism data, read depths and annotation information in an interactive and scalable manner. Users can design PCR primers for polymorphic sites of interest. In addition, a molecular phylogenetic tree of any region can be reconstructed so that the overall relationship among the examined genomes can be understood intuitively at a glance. All functions are implemented through user-friendly web-based interfaces so that researchers can easily share data with collaborators in remote places without extensive bioinformatics knowledge.</jats:p>

収録刊行物

  • DNA Research

    DNA Research 26 (6), 445-452, 2019-09-20

    Oxford University Press (OUP)

被引用文献 (16)*注記

もっと見る

参考文献 (44)*注記

もっと見る

関連プロジェクト

もっと見る

キーワード

問題の指摘

ページトップへ