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De novo approach to find differentially appearing genome sequence patterns from the two NGS datasets.

Research Project

Project/Area Number 26540159
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Life / Health / Medical informatics
Research InstitutionWaseda University (2016)
National Institute of Advanced Industrial Science and Technology (2014-2015)

Principal Investigator

Kana Shimizu  早稲田大学, 理工学術院, 准教授 (60367050)

Project Period (FY) 2014-04-01 – 2017-03-31
Project Status Completed (Fiscal Year 2016)
Budget Amount *help
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Keywords次世代シークエンサー / アルゴリズム / アラインメントフリー / ゲノム配列 / パターン / 次世代シークエンスデータ / Alignment free / Structural variation
Outline of Final Research Achievements

High-throughput sequencing technology enables to determine various genomes for a same species. Given such a variety of genomes, it is more natural to consider all of such variations. However, majority of analysis method conducts mapping against only a single reference genome in first, which leads to loss of important information caused by mis-mapping. In order to capture individual data’s feature, we developed new approach to analyze NGS data by comparing two different NGS data sets directly and discovering sequence patterns which appears either of the two datasets and do not appear in the other. The proposed approach can be applied to various problems such as finding breakpoints in cancer genomes.

Report

(4 results)
  • 2016 Annual Research Report   Final Research Report ( PDF )
  • 2015 Research-status Report
  • 2014 Research-status Report
  • Research Products

    (5 results)

All 2016 2015 2014 Other

All Journal Article (1 results) (of which Peer Reviewed: 1 results,  Open Access: 1 results) Presentation (3 results) (of which Invited: 1 results) Remarks (1 results)

  • [Journal Article] Reference-free prediction of rearrangement breakpoint reads2014

    • Author(s)
      Edward Wijaya, Kana Shimizu, Kiyoshi Asai, Michiaki Hamada
    • Journal Title

      Bioinformatics

      Volume: 30(18) Issue: 18 Pages: 2559-2567

    • DOI

      10.1093/bioinformatics/btu360

    • Related Report
      2014 Research-status Report
    • Peer Reviewed / Open Access
  • [Presentation] Privacy-preserving genome sequence search2016

    • Author(s)
      Kana Shimizu
    • Organizer
      2016 International Workshop on Spatial and Temporal Modeling from Statistical, Machine Learning and Engineering perspectives (STM2016)
    • Place of Presentation
      東京
    • Year and Date
      2016-06-23
    • Related Report
      2016 Annual Research Report
    • Invited
  • [Presentation] SlideSort for comparative NGS data and privacy preserving search for sensitive data2016

    • Author(s)
      Kana Shimizu
    • Organizer
      RDF Summit 2016
    • Place of Presentation
      東北大学
    • Year and Date
      2016-02-19
    • Related Report
      2015 Research-status Report
  • [Presentation] 参照ゲノムをなるべく用いない解析 / ゲノム秘匿検索2015

    • Author(s)
      清水 佳奈
    • Organizer
      NGS現場の会 第四回研究会
    • Place of Presentation
      つくば国際会議場
    • Year and Date
      2015-07-02
    • Related Report
      2015 Research-status Report
  • [Remarks] De nove clustering of short reads.

    • URL

      https://github.com/iskana/SlideSort

    • Related Report
      2016 Annual Research Report

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Published: 2014-04-04   Modified: 2018-03-22  

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