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Towards a complete map of the human long non-coding RNA transcriptome

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NATURE REVIEWS GENETICS
卷 19, 期 9, 页码 535-548

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NATURE PORTFOLIO
DOI: 10.1038/s41576-018-0017-y

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资金

  1. Swiss National Science Foundation through the National Centres for Competence in Research (NCCR) 'RNA Disease'
  2. Medical Faculty of the University Hospital
  3. University of Bern
  4. Wellcome Trust [WT098051, WT108749/Z/15/Z]
  5. National Human Genome Research Institute (NHGRI) [U41HG007234, 2U41HG007234]
  6. European Molecular Biology Laboratory
  7. National Human Genome Research Institute of the US National Institutes of Health [U41HG007234, U41HG007000, U54HG007004]
  8. National Human Genome Research Institute [U41HG007234, U54HG007000, R01MH101814]
  9. Spanish Ministry of Economy and Competitiveness, 'Centro de Excelencia Severo Ochoa'
  10. CERCA Programme/Generalitat de Catalunya

向作者/读者索取更多资源

Gene maps, or annotations, enable us to navigate the functional landscape of our genome. They are a resource upon which virtually all studies depend, from single-gene to genome-wide scales and from basic molecular biology to medical genetics. Yet present-day annotations suffer from trade-offs between quality and size, with serious but often unappreciated consequences for downstream studies. This is particularly true for long non-coding RNAs (lncRNAs), which are poorly characterized compared to protein-coding genes. Long-read sequencing technologies promise to improve current annotations, paving the way towards a complete annotation of lncRNAs expressed throughout a human lifetime.

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