| Career Summary |
1997: Bachelor of Science, Faculty of Science, Kyoto University.
1999: Master of Philosophy, Graduate School of Arts and Sciences, The University of Tokyo.
1999-2002: Research Fellowship for Young Scientists, Japan Society for the Promotion of Science (JSPS)
2003: Master of Engineering, Graduate School of Information Science, Nara Institute of Science and Technology
2004: Doctor of Philosophy, Graduate School of Arts and Sciences, The University of Tokyo.
2005-2009: AIST Research Staff (Post Doctoral Researcher), Computational Biology Research Center (CBRC), Advanced Industrial Science and Technology (AIST)
2007: Doctor of Science, Graduate School of Information Science, Nara Institute of Science and Technology
2009--present: Associate Professor, Graduate School of Frontier Sciences, The University of Tokyo
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| Educational Activities |
RNA Infomation Analysis
Genome Sequence Analysis
Basic Computational Biology I
Basic Informatics Exercises of Computational Biology
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| Research Activities |
RNA Sequence Analysis
Developing Tools for Comparative Genomics
Understanding Transcriptional Networks of Mammalian Species
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Literature
1) Hamada M, Sato K, Kiryu H, Mituyama T, and Asai K. "Predictions of RNA secondary structure by combining homologous sequence information." Bioinformatics 25: i330-i338.(2009)
2) Hisanori Kiryu, Taishin Kin, and Kiyoshi Asai. "Rfold: an exact algorithm for computing local base pairing probabilities." Bioinformatics 24: 367-373. (2008)
3) Hisanori Kiryu, Taku Oshima, and Kiyoshi Asai. "Extracting relations between promoter sequences and their strengths from microarray data." Bioinformatics 21: 1062-1068.(2005)
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| Other Activities |
Japanese Society of Bioinformatics (JSBi)
"The Functional RNA Project" of the New Energy and Industrial Technology Development Organization (NEDO)
The RNA Society of Japan
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| Future Plan |
We are developing tools for analyzing the transcriptional regulatory networks of mammals.
Our goal is to decipher the mechanisms of embryogenesis and organ development
from the statistical signatures of genome sequences.
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| Messages to Students |
Computational biology is now growing out of its infancy.
There are many biological problems that cannot be tackled without its power.
I recommend that you join this promising field.
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