Literature DB >> 15994192

MicroRNA identification based on sequence and structure alignment.

Xiaowo Wang1, Jing Zhang, Fei Li, Jin Gu, Tao He, Xuegong Zhang, Yanda Li.   

Abstract

MOTIVATION: MicroRNAs (miRNA) are approximately 22 nt long non-coding RNAs that are derived from larger hairpin RNA precursors and play important regulatory roles in both animals and plants. The short length of the miRNA sequences and relatively low conservation of pre-miRNA sequences restrict the conventional sequence-alignment-based methods to finding only relatively close homologs. On the other hand, it has been reported that miRNA genes are more conserved in the secondary structure rather than in primary sequences. Therefore, secondary structural features should be more fully exploited in the homologue search for new miRNA genes.
RESULTS: In this paper, we present a novel genome-wide computational approach to detect miRNAs in animals based on both sequence and structure alignment. Experiments show this approach has higher sensitivity and comparable specificity than other reported homologue searching methods. We applied this method on Anopheles gambiae and detected 59 new miRNA genes. AVAILABILITY: This program is available at http://bioinfo.au.tsinghua.edu.cn/miralign. SUPPLEMENTARY INFORMATION: Supplementary information is available at http://bioinfo.au.tsinghua.edu.cn/miralign/supplementary.htm.

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Year:  2005        PMID: 15994192     DOI: 10.1093/bioinformatics/bti562

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  101 in total

1.  Identification and developmental profiling of conserved and novel microRNAs in Manduca sexta.

Authors:  Xiufeng Zhang; Yun Zheng; Guru Jagadeeswaran; Ren Ren; Ramanjulu Sunkar; Haobo Jiang
Journal:  Insect Biochem Mol Biol       Date:  2012-03-01       Impact factor: 4.714

2.  Identification of miRNAs in sorghum by using bioinformatics approach.

Authors:  Amit Katiyar; Shuchi Smita; Viswanathan Chinnusamy; Dev Mani Pandey; Kailash Bansal
Journal:  Plant Signal Behav       Date:  2012-02-01

Review 3.  Genome-wide approaches in the study of microRNA biology.

Authors:  Melissa L Wilbert; Gene W Yeo
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010-12-31

Review 4.  Exploration of small non coding RNAs in wheat (Triticum aestivum L.).

Authors:  Yingyin Yao; Qixin Sun
Journal:  Plant Mol Biol       Date:  2011-10-19       Impact factor: 4.076

5.  Unique folding of precursor microRNAs: quantitative evidence and implications for de novo identification.

Authors:  Stanley Ng Kwang Loong; Santosh K Mishra
Journal:  RNA       Date:  2006-12-28       Impact factor: 4.942

Review 6.  RNA stem-loops: to be or not to be cleaved by RNAse III.

Authors:  William Ritchie; Matthieu Legendre; Daniel Gautheret
Journal:  RNA       Date:  2007-02-13       Impact factor: 4.942

7.  miRRim: a novel system to find conserved miRNAs with high sensitivity and specificity.

Authors:  Goro Terai; Takashi Komori; Kiyoshi Asai; Taishin Kin
Journal:  RNA       Date:  2007-10-24       Impact factor: 4.942

Review 8.  Computational approaches for microRNA studies: a review.

Authors:  Li Li; Jianzhen Xu; Deyin Yang; Xiaorong Tan; Hongfei Wang
Journal:  Mamm Genome       Date:  2009-12-15       Impact factor: 2.957

Review 9.  Computational methods in noncoding RNA research.

Authors:  Ariane Machado-Lima; Hernando A del Portillo; Alan Mitchell Durham
Journal:  J Math Biol       Date:  2007-09-04       Impact factor: 2.259

10.  Transcriptome-wide identification and profiling of miRNAs in a stress-tolerant conifer Sabina chinensis.

Authors:  Xian-Ge Hu; Shan-Shan Zhou; Ying Yang; Hui Liu; Shrestha Anil; Qing Wang; Wei Zhao; Qiong Gao; Yousrya El-Kassaby; Tongli Wang; Yue Li; Jian-Feng Mao
Journal:  J Biosci       Date:  2020       Impact factor: 1.826

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