Author

Akifumi Hamada

Keio University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Manato AkiyamaiD· 1 shared Yasubumi SakakibaraiD· 1 shared Yohann Augey· 1 shared Yuka YoshimuraiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Manato AkiyamaORCID

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1 paper

Recent·Most cited

Genomic style: yet another deep-learning approach to characterize bacterial genome sequences

Yuka Yoshimura, Akifumi Hamada, Yohann Augey, Manato Akiyama, Yasubumi Sakakibara

This paper introduces a new sequence feature called genomic style for bacterial DNA sequence classification, showing it outperforms k-mer frequency in metagenome binning.

Bioinformatics Advances · Jan 1, 2021Peer-reviewedBioinformatics