Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Natsuki Iwano"'
Publikováno v:
Frontiers in Bioinformatics, Vol 3 (2023)
RNA accessibility is a useful RNA secondary structural feature for predicting RNA-RNA interactions and translation efficiency in prokaryotes. However, conventional accessibility calculation tools, such as Raccess, are computationally expensive and re
Externí odkaz:
https://doaj.org/article/2f2e9facca7f4dc8ac96b0b16b7df180
Autor:
Hitoshi Iuchi, Taro Matsutani, Keisuke Yamada, Natsuki Iwano, Shunsuke Sumi, Shion Hosoda, Shitao Zhao, Tsukasa Fukunaga, Michiaki Hamada
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 3198-3208 (2021)
Although remarkable advances have been reported in high-throughput sequencing, the ability to aptly analyze a substantial amount of rapidly generated biological (DNA/RNA/protein) sequencing data remains a critical hurdle. To tackle this issue, the ap
Externí odkaz:
https://doaj.org/article/79a1a11c24f74a719aa4ebd0c70d1fce
Publikováno v:
Nature Computational Science. 2:378-386
Nucleic acid aptamers are generated by an in vitro molecular evolution method known as systematic evolution of ligands by exponential enrichment (SELEX). Various candidates are limited by actual sequencing data from an experiment. Here we developed R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc6de09d1c60349fbcab17cf4e89c3c6
https://doi.org/10.1038/s43588-022-00249-6
https://doi.org/10.1038/s43588-022-00249-6
Autor:
Michiaki Hamada, Hitoshi Iuchi, Shitao Zhao, Shunsuke Sumi, Taro Matsutani, Keisuke Yamada, Natsuki Iwano, Tsukasa Fukunaga, Shion Hosoda
Remarkable advances in high-throughput sequencing have resulted in rapid data accumulation, and analyzing biological (DNA/RNA/protein) sequences to discover new insights in biology has become more critical and challenging. To tackle this issue, the a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::049d660adef633397dd085233ff7d3e7
https://doi.org/10.1101/2021.02.26.433129
https://doi.org/10.1101/2021.02.26.433129
RaptGen: A variational autoencoder with profile hidden Markov model for generative aptamer discovery
Nucleic acid aptamers are generated by an in vitro molecular evolution method known as systematic evolution of ligands by exponential enrichment (SELEX). A variety of candidates is limited by actual sequencing data from an experiment. Here, we develo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e8658588628b84bcb7f844eed5971e3
https://doi.org/10.1101/2021.02.17.431338
https://doi.org/10.1101/2021.02.17.431338
This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. P