title: Linc2GO: a human LincRNA function annotation resource based on ceRNA hypothesis.
abstract: Large numbers of long intergenic non-coding RNA (lincRNA) have been detected through high-throughput sequencing technology. However, currently we still know very little about their functions. Therefore, a lincRNA function annotation database is needed to facilitate the study in this field. In this article, we present Linc2GO, a web resource that aims to provide comprehensive functional annotations for human lincRNA. MicroRNA-mRNA and microRNA-lincRNA interaction data were integrated to generate lincRNA functional annotations based on the 'competing endogenous RNA hypothesis'. To the best of our knowledge, Linc2GO is the first database that makes use of the 'competing endogenous RNA hypothesis' to predict lincRNA functions.
  
  
  BACKGROUND
  Freely available at http://www.bioinfo.tsinghua.edu.cn/~liuke/Linc2GO/index.html
authors.affiliation: MOE Key Laboratory of Bioinformatics, State Key Laboratory of Biomembrane and Membrane Biotechnology, School of Life Sciences, Tsinghua University, Beijing, China.
authors.forename: Ke
authors.initials: K
authors.lastname: Liu
authors.forename: Zhangming
authors.initials: Z
authors.lastname: Yan
authors.forename: Yuchao
authors.initials: Y
authors.lastname: Li
authors.forename: Zhirong
authors.initials: Z
authors.lastname: Sun
mesh_terms: D030561:Databases, Nucleic Acid; D006801:Humans; D035683:MicroRNAs / Q000378:metabolism; D058977:Molecular Sequence Annotation; D062085:RNA, Long Noncoding / Q000737:chemistry / Q000378:metabolism*; D012333:RNA, Messenger / Q000378:metabolism
chemical_list: D035683:MicroRNAs; D062085:RNA, Long Noncoding; D012333:RNA, Messenger