Non-coding yet non-trivial: a review on the computational genomics of lincRNAs

被引：19

作者：

Ching, Travers ^{[1
,2
]}

Masaki, Jayson ^{[3
]}

Weirather, Jason ^{[4
]}

Garmire, Lana X. ^{[1
,2
]}

机构：

[1] Univ Hawaii Manoa, Mol Biosci & Bioengn Grad Prog, Honolulu, HI 96822 USA

[2] Univ Hawaii, Ctr Canc, Program Epidemiol, Honolulu, HI 96813 USA

[3] Chaminade Univ Honolulu, Lab Immunol & Signal Transduct, Honolulu, HI 96816 USA

[4] Univ Iowa, Dept Internal Med, Iowa City, IA 52242 USA

来源：

BIODATA MINING | 2015年 / 8卷

关键词：

FUNCTION ANNOTATION; RNA; CANCER; IDENTIFICATION; EXPRESSION; PREDICTION; DATABASE; REVEALS; GENES; TRANSCRIPTOMES;

D O I：

10.1186/s13040-015-0075-z

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Long intergenic non-coding RNAs (lincRNAs) represent one of the most mysterious RNA species encoded by the human genome. Thanks to next generation sequencing (NGS) technology and its applications, we have recently witnessed a surge in non-coding RNA research, including lincRNA research. Here, we summarize the recent advancement in genomics studies of lincRNAs. We review the emerging characteristics of lincRNAs, the experimental and computational approaches to identify lincRNAs, their known mechanisms of regulation, the computational methods and resources for lincRNA functional predictions, and discuss the challenges to understanding lincRNA comprehensively.

引用

页数：12

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