Official Title

Professor
Department of Electrical Engineering and Bioscience
Faculty of Science and Engineering

Research Fields

Bioinformatics, Genomic Science, Data-mining, Machine Learning, Privacy Act

Research

I interest include RNA informatics, sequence analysis, epigenetics, data-mining and machine learning. I aim to develop killer tools in the analyses of biological data.

Selected publications

1. Shimpei Nishida, Shun Sakuraba, Kiyoshi Asai, and Michiaki Hamada
Estimating energy parameters for RNA secondary structure predictions using both experimental and computational data
IEEE/ACM Transactions on Computational Biology and Bioinformatics (to appear), 2018

2. Takafumi Chishima, Junichi Iwakiri, Michiaki Hamada
Identification of transposable elements contributing to tissue-specific expression of long non-coding RNAs,
Genes 2018, 9(1), 23; doi:10.3390/genes9010023

3. Taikai Takeda and Michiaki Hamada
Selecting the optimal model for sequence alignment via the Factorized Asymptotic Bayesian algorithm
Bioinformatics, Volume 34, Issue 4, 15 February 2018, Pages 576-584, doi:10.1093/bioinformatics/btx643 (Published: 12 October 2017)

4. Michiaki Hamada
In silico approaches to RNA aptamer design
Biochimie Volume 145, February 2018, Pages 8-14 (Available online 12 October 2017)

5. Junichi Iwakiri, Goro Terai, Michiaki Hamada
Computational prediction of lncRNA-mRNA interactions by integrating tissue specificity in human transcriptome
Biology Direct (2017) 12:15

Links

https://sites.google.com/site/michiakihamadaen/