Open Access@KRIBBDivision of A.I. & Biomedical ResearchDigital Biotech Innovation Center1. Journal Articles
Genome-wide identification and classification of microRNAs derived from repetitive elements
Cited 0 time in 
Metadata Downloads
- Title
- Genome-wide identification and classification of microRNAs derived from repetitive elements
- Author(s)
- J A Gim; H S Ha; K Ahn; Dae Soo Kim; H S Kim
- Bibliographic Citation
- Genomics & Informatics, vol. 12, no. 4, pp. 261-267
- Publication Year
- 2014
- Abstract
- MicroRNAs (miRNAs) are known for their role in mRNA silencing via interference pathways. Repetitive elements (REs) share several characteristics with endogenous precursor miRNAs. In this study, 406 previously identified and 1,494 novel RE-derived miRNAs were sorted from the GENCODE v.19 database using the RepeatMasker program. They were divided into six major types, based on their genomic structure. More novel RE-derived miRNAs were confirmed than identified as RE-derived miRNAs. In conclusion, many miRNAs have not yet been identified, most of which are derived from REs.
- ISSN
- I000-0158
- Publisher
- Korea Soc-Assoc-Inst
- Full Text Link
- http://dx.doi.org/10.5808/GI.2014.12.4.261
- Type
- Article
- Appears in Collections:
- Division of A.I. & Biomedical Research > Digital Biotech Innovation Center > 1. Journal Articles
- Files in This Item:
There are no files associated with this item.
Items in OpenAccess@KRIBB are protected by copyright, with all rights reserved, unless otherwise indicated.