Projects per year
Personal profile
Education
- 1992 ~ 1997 Ph.D., Computer Science, UC Berkeley, USA
- 1989 ~ 1992 M.S., Biophysics, Kyoto University, JPN
- 1989 B.S., Molecular Biology, UUniversity of Washington, USA
Experience
- 2018 ~ present Professor, Department of Computer Science and Information Eng., National Cheng Kung University
- 2015 ~ 2018 Prime Senior Researcher, Computational Biology Research Center, AIST
- 2006 ~ 2018 Visiting Associate Professor, Kyoto University
- 2003 ~ 2014 Research Team Leader, Computational Biology Research Center, AIST
- 1998 ~ 2000 Researcher, Real World Computing Partnership
Research Interests
- Motif Discovery Algorithms
- Next Generation Sequencing Data Analysis
- Machine Learning on Biological Sequence Data & Protein Subcellular Localization Informatics
- Medical Informatics
- Protein Subcellular Localization Informatics
- Protein Subcellular Localization
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Collaborations and top research areas from the last five years
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Projects
- 2 Finished
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MethylSeqLogo: DNA methylation smart sequence logos
Hsu, F. M. & Horton, P., 2024 Sept, In: BMC Bioinformatics. 25, Suppl 2, 326.Research output: Contribution to journal › Article › peer-review
Open Access -
Prediction of mitochondrial targeting signals and their cleavage sites
Yoshinori, F., Imai, K. & Horton, P., 2024 Jan, Mitochondrial Translocases Part A. Academic Press Inc., p. 161-192 32 p. (Methods in Enzymology; vol. 706).Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Effects of spaced k-mers on alignment-free genotyping
Häntze, H. & Horton, P., 2023 Jun 1, In: Bioinformatics. 39, p. I213-I221Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Author Correction: Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network (Nature Communications, (2021), 12, 1, (3297), 10.1038/s41467-021-23143-7)
FANTOM consortium, 2022 Dec 1, In: Nature communications. 13, 1, 1200.Research output: Contribution to journal › Comment/debate › peer-review
Open Access -
Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network
FANTOM consortium, 2021 Dec 1, In: Nature communications. 12, 1, 3297.Research output: Contribution to journal › Article › peer-review
Open Access15 Citations (Scopus)