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LNCipedia 5: towards a reference set of human long non-coding RNAs.
Volders, Pieter-Jan; Anckaert, Jasper; Verheggen, Kenneth; Nuytens, Justine; Martens, Lennart; Mestdagh, Pieter; Vandesompele, Jo.
Afiliação
  • Volders PJ; Cancer Research Institute Ghent (CRIG), 9000 Ghent, Belgium.
  • Anckaert J; Center for Medical Genetics (CMGG), Ghent University, 9000 Ghent, Belgium.
  • Verheggen K; VIB-UGent Center for Medical Biotechnology, 9000 Ghent, Belgium.
  • Nuytens J; Department of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.
  • Martens L; Cancer Research Institute Ghent (CRIG), 9000 Ghent, Belgium.
  • Mestdagh P; Center for Medical Genetics (CMGG), Ghent University, 9000 Ghent, Belgium.
  • Vandesompele J; Department of Biomolecular Medicine, Faculty of Medicine and Health Sciences, Ghent University, 9000 Ghent, Belgium.
Nucleic Acids Res ; 47(D1): D135-D139, 2019 01 08.
Article em En | MEDLINE | ID: mdl-30371849
ABSTRACT
While long non-coding RNA (lncRNA) research in the past has primarily focused on the discovery of novel genes, today it has shifted towards functional annotation of this large class of genes. With thousands of lncRNA studies published every year, the current challenge lies in keeping track of which lncRNAs are functionally described. This is further complicated by the fact that lncRNA nomenclature is not straightforward and lncRNA annotation is scattered across different resources with their own quality metrics and definition of a lncRNA. To overcome this issue, large scale curation and annotation is needed. Here, we present the fifth release of the human lncRNA database LNCipedia (https//lncipedia.org). The most notable improvements include manual literature curation of 2482 lncRNA articles and the use of official gene symbols when available. In addition, an improved filtering pipeline results in a higher quality reference lncRNA gene set.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Bases de Dados de Ácidos Nucleicos / RNA Longo não Codificante Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Bélgica

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Bases de Dados de Ácidos Nucleicos / RNA Longo não Codificante Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Bélgica