Computational RNomics: structure identification and functional prediction of non-coding RNAs in silico.
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".
Zheng
Lingling
L
Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou, 510275, China.
Qu
Lianghu
L
D000465:Algorithms; D019295:Computational Biology; D003628:Database Management Systems; D030541:Databases, Genetic; D056890:Eukaryota; D023281:Genomics; D016247:Information Storage and Retrieval; D022661:RNA, Untranslated / Q000737:chemistry* / Q000502:physiology*; D017423:Sequence Analysis, RNA
D022661:RNA, Untranslated