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- Title
植物长链非编码RAN 的生物信息学预测与分析研究进展.
- Authors
蔡 媛; 钟 灿; 刘 浩; 金 剑; 王勇庆; 张水寒
- Abstract
Long non-coding RNAs (IncRNAs) widely exist in eukaryotes, which arc RNA transcripts expressed by the transcription of regulatory genes with more than 200 nucleotides in length and no protein-coding ability. Numerous studies have shown that IncRNAs play an important role in regulating a variety of biological pathways. Bioinformatics is generated by multiple disciplines including biology, mathematics, computer science, and statistics, which can deeply mint and analyze big data information from the global and system levels. Currently, using bioinformatie method to predict and analyze IncRNA is one of the important strategies for the discovery and identification of plant IncRNA. This paper summarizes and discusses the methodological strategies of bioinformatics for predicting plant IncRNA and its target genes, so as to provide a reference for the future research on the role of plant IncRNAs in plants growth and development, stress resistance, and phylogenetie evolution.
- Subjects
PLANT growth; PLANT development; REGULATOR genes; NON-coding RNA; PLANT identification; SYSTEMS biology
- Publication
Chinese Journal of Bioinformatics, 2019, Vol 17, Issue 3, p151
- ISSN
1672-5565
- Publication type
Article
- DOI
10.12113/j.issn.1672-5565.201812006