Literature DB >> 19802586

Prediction of plant miRNA genes.

Matthew W Jones-Rhoades1.   

Abstract

This chapter presents procedures for the computational identification of plant miRNA genes. In the first procedure, homologs of known miRNAs are identified in a database of genomic or cDNA sequence. In the second procedure, previously unidentified miRNA families are predicted through the analysis of secondary structure, evolutionary conservation, and targeting potential.

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Year:  2010        PMID: 19802586     DOI: 10.1007/978-1-60327-005-2_2

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  miR172 downregulates the translation of cleistogamy 1 in barley.

Authors:  Nadia Anwar; Masaru Ohta; Takayuki Yazawa; Yutaka Sato; Chao Li; Akemi Tagiri; Mari Sakuma; Thomas Nussbaumer; Phil Bregitzer; Mohammad Pourkheirandish; Jianzhong Wu; Takao Komatsuda
Journal:  Ann Bot       Date:  2018-08-01       Impact factor: 4.357

2.  New wheat microRNA using whole-genome sequence.

Authors:  Kuaybe Yucebilgili Kurtoglu; Melda Kantar; Hikmet Budak
Journal:  Funct Integr Genomics       Date:  2014-01-07       Impact factor: 3.410

3.  Identification of novel MiRNAs and MiRNA expression profiling during grain development in indica rice.

Authors:  Ying Lan; Ning Su; Yi Shen; Rongzhi Zhang; Fuqing Wu; Zhijun Cheng; Jiulin Wang; Xin Zhang; Xiupin Guo; Cailin Lei; Jie Wang; Ling Jiang; Long Mao; Jianmin Wan
Journal:  BMC Genomics       Date:  2012-06-21       Impact factor: 3.969

4.  Insilico profiling of microRNAs in Korean ginseng (Panax ginseng Meyer).

Authors:  Ramya Mathiyalagan; Sathiyamoorthy Subramaniyam; Sathishkumar Natarajan; Yeon Ju Kim; Myung Suk Sun; Se Young Kim; Yu-Jin Kim; Deok Chun Yang
Journal:  J Ginseng Res       Date:  2013-04       Impact factor: 6.060

  4 in total

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