AI for the collective analysis of a massive number of genome sequences: various examples from the small genome of pandemic SARS-CoV-2 to the human genome
Author:
Affiliation:
1. Faculty of Bioscience, Nagahama Institute of Bio-Science and Technology
2. Department of Information Engineering, Faculty of Engineering, Niigata University
Publisher
Genetics Society of Japan
Subject
Genetics,Molecular Biology,General Medicine
Link
https://www.jstage.jst.go.jp/article/ggs/96/4/96_21-00025/_pdf
Reference50 articles.
1. Abe, T., Akazawa, Y., Toyoda, A., Niki, H., and Baba, T. (2020) Batch-Learning Self-Organizing Map identifies horizontal gene transfer candidates and their origins in entire genomes. Front. Microbiol. 11, 1486.
2. Abe, T., Furukawa, R., Iwasaki, Y., and Ikemura, T. (2021) Time-series trend of pandemic SARS-CoV-2 variants visualized using batch-learning self-organizing map for oligonucleotide compositions. bioRxiv. doi: https://doi.org/10.1101/2021.04.15.439956
3. Abe, T., Hamano, Y., and Ikemura, T. (2014a) Visualization of genome signatures of eukaryote genomes by Batch-Learning Self-Organizing Map (BLSOM) with a special emphasis on Drosophila genomes. Biomed Res. Int. 2014, 985706.
4. Abe, T., Ikemura, T., Sugahara, J., Kanai, A., Ohara, Y., Uehara, H., Kinouchi, M., Kanaya, S., Yamada, Y., Muto, A., et al. (2011) tRNADB-CE 2011: tRNA gene database curated manually by experts. Nucleic Acids Res. 39, D210–D213.
5. Abe, T., Inokuchi, H., Yamada, Y., Muto, A., Iwasaki, Y., and Ikemura, T. (2014b) tRNADB-CE: tRNA gene database well-timed in the era of big sequence data. Front. Genet. 5, 114.
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