title: Databases and resources for human small non-coding RNAs.
abstract: Recent advances in high-throughput sequencing have facilitated the genome-wide studies of small non-coding RNAs (sRNAs). Numerous studies have highlighted the role of various classes of sRNAs at different levels of gene regulation and disease. The fast growth of sequence data and the diversity of sRNA species have prompted the need to organise them in annotation databases. There are currently several databases that collect sRNA data. Various tools are provided for access, with special emphasis on the well-characterised family of micro-RNAs. The striking heterogeneity of the new classes of sRNAs and the lack of sufficient functional annotation, however, make integration of these datasets a difficult task. This review describes the currently available databases for human sRNAs that are accessible via the internet, and some of the large datasets for human sRNAs from high-throughput sequencing experiments that are so far only available as supplementary data in publications. Some of the main issues related to the integration and annotation of sRNA datasets are also discussed.
authors.affiliation: Department of Computational Genomics, Universitat Pompeu Fabra, Dr. Aiguader 88, E08003 Barcelona, Spain.
authors.forename: Eneritz
authors.initials: E
authors.lastname: Agirre
authors.forename: Eduardo
authors.initials: E
authors.lastname: Eyras
mesh_terms: D019295:Computational Biology; D030541:Databases, Genetic; D015894:Genome, Human; D023281:Genomics; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods; D006801:Humans; D035683:MicroRNAs / Q000235:genetics; D058727:RNA, Small Untranslated / Q000235:genetics*; D017423:Sequence Analysis, RNA
chemical_list: D035683:MicroRNAs; D058727:RNA, Small Untranslated