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Versatile interactions and bioinformatics analysis of noncoding RNAs.
Chen, Qi; Meng, Xianwen; Liao, Qi; Chen, Ming.
Afiliação
  • Chen Q; Department of Bioinformatics, The State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, P. R. China.
  • Meng X; Department of Bioinformatics, The State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, P. R. China.
  • Liao Q; Department of Bioinformatics, The State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, P. R. China.
  • Chen M; Department of Preventative Medicine, Zhejiang Provincial Key Laboratory of Pathological and Physiological Technology, Medical School of Ningbo University, Ningbo, Zhejiang, P. R. China.
Brief Bioinform ; 20(5): 1781-1794, 2019 09 27.
Article em En | MEDLINE | ID: mdl-29939215
Advances in RNA sequencing technologies and computational methodologies have provided a huge impetus to noncoding RNA (ncRNA) study. Once regarded as inconsequential results of transcriptional promiscuity, ncRNAs were later found to exert great roles in various aspects of biological functions. They are emerging as key players in gene regulatory networks by interacting with other biomolecules (DNA, RNA or protein). Here, we provide an overview of ncRNA repertoire and highlight recent discoveries of their versatile interactions. To better investigate the ncRNA-mediated regulation, it is necessary to make full use of innovative sequencing techniques and computational tools. We further describe a comprehensive workflow for in silico ncRNA analysis, providing up-to-date platforms, databases and tools dedicated to ncRNA identification and functional annotation.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / RNA não Traduzido Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / RNA não Traduzido Idioma: En Ano de publicação: 2019 Tipo de documento: Article