eSkip-Finder: a machine learning-based web application and database to identify the optimal sequences of antisense oligonucleotides for exon skipping

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 Research, 49(Webserver-Issue):193-198, 2021. [doi]

Abstract

Abstract is missing.