• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Modeling of genes and epigenome intracellular regulatory network and analysis of cellular differentiation mechanisms

Research Project

Project/Area Number 25730011
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Statistical science
Research InstitutionTohoku University

Principal Investigator

KOJIMA Kaname  東北大学, 東北メディカル・メガバンク機構, 講師 (10646988)

Project Period (FY) 2013-04-01 – 2015-03-31
Project Status Completed (Fiscal Year 2014)
Budget Amount *help
¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Keywords細胞内制御ネットワーク / エピジェネティクス / 次世代シークエンサー / 遺伝子発現 / 次世代シークエンサ / 遺伝子制御ネットワーク / 変異コール / 遺伝子発現量定量
Outline of Final Research Achievements

Regulatory networks comprised of only genes have been considered for the usual analysis of intracellular system. In the cell differentiation process, the alteration of epigenetic states such as DNA methylation and histone modification induces the change of regulatory structure and the change enables cells to be differentiated to other cells with difference functions. In this study, we devise new methods for estimating the abundance of gene expression, and methods for the foundation of highly accurate estimation of epigenetic states. Targeting the analysis of intracellular regulatory network, we devise the approach for estimating cell-specific transcription factor binding from gene expression data and histone modification data in the cell differentiation process of mouse.

Report

(3 results)
  • 2014 Annual Research Report   Final Research Report ( PDF )
  • 2013 Research-status Report
  • Research Products

    (11 results)

All 2015 2014 2013 Other

All Journal Article (7 results) (of which Peer Reviewed: 7 results,  Open Access: 3 results) Presentation (3 results) (of which Invited: 1 results) Remarks (1 results)

  • [Journal Article] HLA-VBSeq: accurate HLA typing at full resolution from whole-genome sequencing data2015

    • Author(s)
      Naoki Nariai, Kaname Kojima, Sakae Saito, Takahiro Mimori, Yukuto Sato, Yosuke Kawai, Yumi Yamaguchi-Kabata, Jun Yasuda, and Masao Nagasaki
    • Journal Title

      BMC Genomics

      Volume: 16(Suppl 2) Pages: 1-6

    • Related Report
      2014 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Estimating copy numbers of alleles from population-scale high-throughput sequencing data2015

    • Author(s)
      Takahiro Mimori, Naoki Nariai, Kaname Kojima, Yukuto Sato, Yosuke Kawai, Yumi Yamaguchi-Kabata, and Masao Nagasaki
    • Journal Title

      BMC Bioinformatics

      Volume: 16(Suppl 1) Pages: 1-8

    • Related Report
      2014 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] HapMonster: a statistically unified approach for variant calling and haplotyping based on phase-informative reads2014

    • Author(s)
      Kaname Kojima, Naoki Nariai, Takahiro Mimori, Yumi Yamaguchi-Kabata, Yukuto Sato, Yosuke Kawai, and Masao Nagasaki
    • Journal Title

      Lecture Notes in Computer Science

      Volume: 8542 Pages: 107-118

    • Related Report
      2014 Annual Research Report
    • Peer Reviewed
  • [Journal Article] SVEM: a structural variant estimation method using multi-mapped reads on breakpoints2014

    • Author(s)
      Tomohiko Ohtsuki, Naoki Nariai, Kaname Kojima, Takahiro Mimori, Yukuto Sato, Yosuke Kawai, Yumi Yamaguchi-Kabata, and Masao Nagasaki
    • Journal Title

      Lecture Notes in Computer Science

      Volume: 8542 Pages: 208-219

    • Related Report
      2014 Annual Research Report
    • Peer Reviewed
  • [Journal Article] TIGAR2: sensitive and accurate estimation of transcript isoform expression with longer RNA-Seq reads2014

    • Author(s)
      Naoki Nariai, Kaname Kojima, Takahiro Mimori, Yukuto Sato, Yosuke Kawai, Yumi Yamaguchi-Kabata, and Masao Nagasaki
    • Journal Title

      BMC Genomics

      Volume: 15(Suppl 9) Pages: 1-9

    • Related Report
      2014 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] A statistical variant calling approach from pedigree information and local haplotyping with phase informative reads2013

    • Author(s)
      Kaname Kojima, Naoki Nariai, Takahiro Mimori, Mamoru Takahashi, Yumi Yamaguchi-Kabata, Yukuto Sato, and Masao Nagasaki
    • Journal Title

      Bioinformatics

      Volume: 29 (22) Issue: 22 Pages: 2835-2843

    • DOI

      10.1093/bioinformatics/btt503

    • Related Report
      2013 Research-status Report
    • Peer Reviewed
  • [Journal Article] TIGAR : transcript isoform abundance estimation method with gapped alignment of RNA-Seq data by variational Bayesian inference2013

    • Author(s)
      Naoki Nariai, Osamu Hirose, Kaname Kojima, Masao Nagasaki
    • Journal Title

      Bioinformatics

      Volume: 29 (18) Issue: 18 Pages: 2292-2299

    • DOI

      10.1093/bioinformatics/btt381

    • Related Report
      2013 Research-status Report
    • Peer Reviewed
  • [Presentation] Short tandem repeat number estimation from paired-end sequence reads by considering unobserved genealogy of multiple individuals2015

    • Author(s)
      Kaname Kojima, Yosuke Kawai, Naoki Nariai, Takahiro Mimori, Takanori Hasegawa, and Masao Nagasaki
    • Organizer
      11th International Symposium on Bioinformatics Research and Applications
    • Place of Presentation
      アメリカ合衆国、バージニア州ノーフォーク市、オールドドミニオン大学
    • Year and Date
      2015-06-07 – 2015-06-10
    • Related Report
      2014 Annual Research Report
  • [Presentation] Statistical methods for analyzing next generation sequencing data2014

    • Author(s)
      Kaname Kojima
    • Organizer
      International Statistical Symposium CSA-KSS-JSS Special Invited Sessions
    • Place of Presentation
      台湾、新竹市、交通大学
    • Year and Date
      2014-12-06
    • Related Report
      2014 Annual Research Report
    • Invited
  • [Presentation] HapMonster: a Statistically Unified Approach for Variant Calling and Haplotyping Based on Phase-informative Reads2014

    • Author(s)
      Kaname Kojima, Naoki Nariai, Takahiro Mimori, Yumi Yamaguchi-Kabata, Yukuto Sato, Yosuke Kawai and Masao Nagasaki
    • Organizer
      1st International Conference on Algorithms for Computational Biology
    • Place of Presentation
      Tarragona, Spain
    • Related Report
      2013 Research-status Report
  • [Remarks] HapMonster

    • URL

      http://nagasakilab.csml.org/en/hapmonster

    • Related Report
      2013 Research-status Report

URL: 

Published: 2014-07-25   Modified: 2019-07-29  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi