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Fingerprint Dive into the research topics where Michiaki Hamada is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
RNA Engineering & Materials Science
Long Noncoding RNA Medicine & Life Sciences
Untranslated RNA Medicine & Life Sciences
Computational Biology Medicine & Life Sciences
Base Pairing Medicine & Life Sciences
Sequence Alignment Medicine & Life Sciences
Genome Medicine & Life Sciences
Bioinformatics Chemical Compounds

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Research Output 2003 2019

  • 981 Citations
  • 14 h-Index
  • 50 Article
  • 2 Chapter
  • 2 Conference contribution
  • 1 Comment/debate

Lncrrisearch: A web server for lncRNA-RNA interaction prediction integrated with tissue-specific expression and subcellular localization data

Fukunaga, T., Iwakiri, J., Ono, Y. & Hamada, M., 2019 Jan 1, In : Frontiers in Genetics. 10, MAY, 462.

Research output: Contribution to journalArticle

Open Access
Long Noncoding RNA
RNA
Biological Phenomena

A Novel Method for Assessing the Statistical Significance of RNA-RNA Interactions Between Two Long RNAs

Fukunaga, T. & Hamada, M., 2018 Sep 1, In : Journal of Computational Biology. 25, 9, p. 976-986 11 p.

Research output: Contribution to journalArticle

Statistical Significance
RNA
Interaction
5' Untranslated Regions
3' Untranslated Regions

Beyond similarity assessment: Selecting the optimal model for sequence alignment via the Factorized Asymptotic Bayesian algorithm

Takeda, T. & Hamada, M., 2018 Feb 15, In : Bioinformatics. 34, 4, p. 576-584 9 p.

Research output: Contribution to journalArticle

Sequence Alignment
Markov Model
Hidden Markov models
Statistical Models
Computational Biology
2 Citations (Scopus)

DeepM6ASeq: Prediction and characterization of m6A-containing sequences using deep learning

Zhang, Y. & Hamada, M., 2018 Dec 31, In : BMC Bioinformatics. 19, 524.

Research output: Contribution to journalArticle

Methylation
Learning
RNA
Predict
Prediction

Estimating energy parameters for RNA secondary structure predictions using both experimental and computational data

Nishida, S., Sakuraba, S., Asai, K. & Hamada, M., 2018 Mar 9, (Accepted/In press) In : IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Research output: Contribution to journalArticle

RNA Secondary Structure
Structure Prediction
RNA
Free energy
Energy