| No. | Title | Authors | Journal |
|---|---|---|---|
| 102 | Towards a complete map of the human long non- coding RNA transcriptome | Uszczynska-Ratajczak B, Lagarde J, Frankish A, Guigó R, Johnson R. | Nat Rev Genet. (2018) (): |
Abstract
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.
/Presenter : Inyong Park
/PMID : 29795125
/Date : 2018.07.31
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.
/Presenter : Inyong Park
/PMID : 29795125
/Date : 2018.07.31