Past papers


  • Yukuto Sato, Kaname Kojima, Naoki Nariai, Yumi Yamaguchi-Kabata, Mamoru Takahashi, Takahiro Mimori and Masao Nagasaki,
    SUGAR: graphical user interface-based data refiner for high-throughput DNA sequencing. BMC Genomics, 15:664. doi:10.1186/1471-2164-15-664 (2014)
  • Kaname Kojima, Naoki Nariai, Takahiro Mimori, Yumi Yamaguchi-Kabata, Yukuto Sato, Yosuke Kawai and Masao Nagasaki,
    HapMonster: a Statistically Unified Approach for Variant Calling and Haplotyping Based on Phase-informative Reads, Lecture Notes in Bioinformatics, accepted.
  • Tomohiko Ohtsuki, Naoki Nariai, Kaname Kojima, Takahiro Mimori, Yukuto Sato, Yosuke Kawai, Yumi Yamaguchi-Kabata, Tetsuo Shibuya and Masao Nagasak, SVEM: a Structural Variant Estimation Method using Multi-Mapped Reads on Breakpoints, Lecture Notes in Bioinformatics, accepted.


  • Takahiro Mimori, Naoki Nariai, Kaname Kojima, Mamoru Takahashi, Akira Ono, Yukuto Sato, Yumi Yamaguchi-Kabata and Masao Nagasaki, iSVP: an integrated structural variant calling pipeline from high-throughput sequencing data, BMC Systems Biology, 2013 7(Suppl 6):S8
  • Kaname Kojima, Naoki Nariai, Takahiro Mimori, Mamoru Takahashi, Yumi Yamaguchi-Kabata, Yukuto Sato, and Masao Nagasaki, A statistical variant calling approach from pedigree information and local haplotyping with phase informative reads, Bioinformatics. doi:10.1093/bioinformatics/btt503 (2013)
  • Naoki Nariai, Osamu Hirose, Kaname Kojima and Masao Nagasaki, TIGAR: transcript isoform abundance estimation method with gapped alignment of RNA-Seq data by variational Bayesian inference, Bioinformatics. 29 (18):2292-2299 (2013)

Latest papers