Abstract
The eukaryotic genome contains varying numbers of non-coding RNA (ncRNA) genes. "Computational RNomics" takes a multidisciplinary approach, like information science, to resolve the structure and function of ncRNAs. Here, we review the main issues in "Computational RNomics" of data storage and management, ncRNA gene identification and characterization, ncRNA target identification and functional prediction, and we summarize the main methods and current content of "computational RNomics".
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
