Your browser doesn't support javascript.
loading
An accessibility-incorporated method for accurate prediction of RNA-RNA interactions from sequence data.
Kato, Yuki; Mori, Tomoya; Sato, Kengo; Maegawa, Shingo; Hosokawa, Hiroshi; Akutsu, Tatsuya.
Affiliation
  • Kato Y; Department of RNA Biology and Neuroscience, Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan.
  • Mori T; Center for iPS Cell Research and Application (CiRA), Kyoto University, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.
  • Sato K; Faculty of Science and Technology, Keio University, Kohoku-ku, Yokohama, Kanagawa 223-8522, Japan.
  • Maegawa S; Graduate School of Informatics, Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan.
  • Hosokawa H; Graduate School of Informatics, Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan.
  • Akutsu T; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611-0011, Japan.
Bioinformatics ; 33(2): 202-209, 2017 01 15.
Article in En | MEDLINE | ID: mdl-27663495
Subject(s)
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / RNA / Computational Biology / Molecular Docking Simulation Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2017 Type: Article Affiliation country: Japan
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / RNA / Computational Biology / Molecular Docking Simulation Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2017 Type: Article Affiliation country: Japan