Research Article
Open Access
Comparative genomics of Glandirana rugosa using unsupervised AI reveals a high CG frequency
View ORCID ProfileYukako Katsura Correspondence email, View ORCID ProfileToshimichi Ikemura Correspondence email, Rei Kajitani, View ORCID ProfileAtsushi Toyoda, View ORCID ProfileTakehiko Itoh, Mitsuaki Ogata, Ikuo Miura, Kennosuke Wada, Yoshiko Wada, Yoko Satta
Yukako Katsura
1Primate Research Institute, Kyoto University, Inuyama-shi, Japan
2Amphibian Research Center, Hiroshima University, Hiroshima-shi, Japan
3Department of Evolutionary Studies of Biosystems, School of Advanced Sciences, The Graduate University For Advanced Studies (SOKENDAI), Shonankokuraimura, Hayama-machi, Japan
Toshimichi Ikemura
4Department of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama-shi, Japan
Rei Kajitani
5Department of Life Science and Technology, School of Life Science and Technology, Tokyo Institute of Technology, Tokyo-to, Japan
Atsushi Toyoda
6Department of Genomics and Evolutionary Biology, National Institute of Genetics, Mishima-shi, Japan
Takehiko Itoh
5Department of Life Science and Technology, School of Life Science and Technology, Tokyo Institute of Technology, Tokyo-to, Japan
Mitsuaki Ogata
7Preservation and Research Center, Yokohama, Japan
Ikuo Miura
2Amphibian Research Center, Hiroshima University, Hiroshima-shi, Japan
Kennosuke Wada
4Department of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama-shi, Japan
Yoshiko Wada
4Department of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama-shi, Japan
Yoko Satta
3Department of Evolutionary Studies of Biosystems, School of Advanced Sciences, The Graduate University For Advanced Studies (SOKENDAI), Shonankokuraimura, Hayama-machi, Japan
Published 12 March 2021. DOI: 10.26508/lsa.202000905
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AI analysis of frog G. rugosa
Yukako Katsura, Toshimichi Ikemura, Rei Kajitani, Atsushi Toyoda, Takehiko Itoh, Mitsuaki Ogata, Ikuo Miura, Kennosuke Wada, Yoshiko Wada, Yoko Satta
Life Science Alliance Mar 2021, 4 (5) e202000905; DOI: 10.26508/lsa.202000905
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Volume 4, No. 5
May 2021
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