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Taishin Kin: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Koji Tsuda, Taishin Kin, Kiyoshi Asai
    Marginalized kernels for biological sequences. [Citation Graph (0, 0)][DBLP]
    ISMB, 2002, pp:268-275 [Conf]
  2. Yasuo Tabei, Koji Tsuda, Taishin Kin, Kiyoshi Asai
    SCARNA: fast and accurate structural alignment of RNA sequences by matching fixed-length stem fragments. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:14, pp:1723-1729 [Journal]
  3. Michiaki Hamada, Koji Tsuda, Taku Kudo, Taishin Kin, Kiyoshi Asai
    Mining frequent stem patterns from unaligned RNA sequences. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:20, pp:2480-2487 [Journal]
  4. Hisanori Kiryu, Taishin Kin, Kiyoshi Asai
    Robust prediction of consensus secondary structures using averaged base pairing probability matrices. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2007, v:23, n:4, pp:434-441 [Journal]
  5. Taishin Kin, Kouichirou Yamada, Goro Terai, Hiroaki Okida, Yasuhiko Yoshinari, Yukiteru Ono, Aya Kojima, Yuki Kimura, Takashi Komori, Kiyoshi Asai
    fRNAdb: a platform for mining/annotating functional RNA candidates from non-coding RNA sequences. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2007, v:35, n:Database-Issue, pp:145-148 [Journal]
  6. Koji Tsuda, Shinsuke Uda, Taishin Kin, Kiyoshi Asai
    Minimizing the Cross Validation Error to Mix Kernel Matrices of Heterogeneous Biological Data. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2004, v:19, n:1, pp:63-72 [Journal]

  7. Idiographica: a general-purpose web application to build idiograms on-demand for human, mouse and rat. [Citation Graph (, )][DBLP]


  8. Murlet: a practical multiple alignment tool for structural RNA sequences. [Citation Graph (, )][DBLP]


  9. Rfold: an exact algorithm for computing local base pairing probabilities. [Citation Graph (, )][DBLP]


  10. A fast structural multiple alignment method for long RNA sequences. [Citation Graph (, )][DBLP]


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