Skip to main navigation Skip to search Skip to main content

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

Research output: Contribution to journal › Article › peer-review

39   Link opens in a new tab Citations (Scopus)
191 Downloads (Pure)

Fingerprint

Dive into the research topics of 'eSkip-Finder: a machine learning-based web application and database to identify the optimal sequences of antisense oligonucleotides for exon skipping'. Together they form a unique fingerprint.
Sort by

Computer Science

Biochemistry, Genetics and Molecular Biology