Graduate Program in Data Science, Tohoku University



Research papers

  1. Nakayama T, Nomura M, Takano Y, Tanifuji G, Shiba K, Inaba K, Inagaki Y, Kawata M, Single-cell genomics unveiled a cryptic cyanobacterial lineage with a worldwide distribution hidden by a dinoflagellate host, Proceedings of the National Academy of Sciences of the United States of America, 201902538, 2019
  2. Matsuoka L, Segawa E, Yuki K, Konno N, Obata N, Asymptotic behavior of a rotational population distribution in a molecular quantum-kicked rotor with ideal quantum resonance, Physics Letter A, 381:1773–1779, 2017
  3. Yamada KD, Omori S, Nish H, Miyagi M, Identification of the sequence determinants of protein N-terminal acetylation through a decision tree approach, BMC Bioinformatics, 32(21):3246-3251, 2016
  4. Higuchi Y, Segawa E, The spreading behavior of quantum walks induced by drifted random walks on some magnifier graph, Quantum Information and Computation, 17:399-414, 2017
  5. Yamada KD, Tomii K, Katoh K, Application of the MAFFT sequence alignment program to large data - reexamination of the usefulness of chained guide trees, Bioinformatics, 18(1):289, 2017
  6. Imamura T, Fujita K, Tagawa K, Ikura T, Chen X, Homma H, Tamura T, Mao Y, Taniguchi JB, Motoki K, Nakabayashi M, Ito N, Yamada K, Tomii K, Okano H, Kaye J, Finkbeiner S, Okazawa H, Identification of hepta-histidine as a candidate drug for Huntington’s disease by in silico-in vitro-in vivo-integrated screens of chemical libraries, Scientific Reports, 6:33861, 2016
  7. Yamada KD, Nishi H, Nakata J, Kinoshita K, Structural characterization of single nucleotide variants at ligand binding sites and enzyme active sites of human proteins, Biophysics and Physicobiology, 13:157-163, 2016

Conference proceedings

  1. Naho Orita, Predicting Japanese scrambling in the wild, European Chapter of the Association for Computational Linguistics, Workshop on Cognitive Modeling and Computational Linguistics (EACL-CMCL), 2017


  1. Yamada KD, Kinoshita K, Development of de novo generator of amino acid sequence profile using LSTM framework, IIBMP2017, 2017