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"eSkip-Finder: a machine learning-based web application and database to ..."

Shuntaro Chiba et al. (2021)

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DOI: 10.1093/NAR/GKAB442

access: open

type: Journal Article

metadata version: 2022-12-06

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  dblp key:
  - journals/nar/ChibaLSAESAWSMT21
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  - https://dblp.org/rec/journals/nar/ChibaLSAESAWSMT21
Shuntaro Chiba, Kenji Rowel Q. Lim, Narin Sheri, Saeed Anwar, Esra Erkut, Md Nur Ahad Shah, Tejal Aslesh, Stanley Woo, Omar Sheikh, Rika Maruyama, Hiroaki Takano, Katsuhiko Kunitake, William Duddy, Yasushi Okuno, Yoshitsugu Aoki, Toshifumi Yokota:
eSkip-Finder: a machine learning-based web application and database to identify the optimal sequences of antisense oligonucleotides for exon skipping. Nucleic Acids Res. 49(Webserver-Issue): 193-198 (2021)

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