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机构地区:[1]东北农业大学理学院,哈尔滨150030 [2]东北农业大学生命科学学院,哈尔滨150030 [3]东北农业大学农学院,哈尔滨150030
出 处:《东北农业大学学报》2015年第2期100-108,共9页Journal of Northeast Agricultural University
基 金:黑龙江省博士后基金(LBH-Z12045);黑龙江省自然科学基金重点项目(ZD201213)
摘 要:阐述Micro RNA(mi RNA)数字特征在计算识别中的发展及应用,总结相关数字特征在mi RNA基因及靶基因预测中的作用。mi RNA数字特征是计算识别物种新mi RNA基因的工具,从首个mi RNA基因被发现以来,数字特征研究由最初的mi RNA序列特征和二级结构特征到现在常用的热力学特征、熵特征和拓扑特征等,均被广泛应用于新mi RNA基因鉴别和靶基因辨识。随着新一代测序技术广泛应用,mi RNA数字特征在mi RNA生源论探讨、基因和靶基因识别、生物合成途径发掘等研究中具有重要作用。文章提出将数字特征应用于靶基因功能的归属判别、生物进化等研究领域,为mi RNA数字特征在其他研究领域应用提供参考和借鉴。Reviewed the development and application of miRNA numerical features in the field of computational identification, and summarized the role of numerical features in the prediction of miRNA genes and their target. The numerical features of micro RNA(miRNA) is an important tool of computational identification new miRNA genes. Since the first miRNA was found that the study of miRNA numerical features has been on, by originally, applying miRNAs sequence features and secondary structure features, thermodynamics features, entropy and topological features to identify new miRNA genes and their target widely. By now, with the next- generation sequencing(NGS) technology applied to miRNA research, the numerical feature in miRNA biogenesis discuss and the research in biosynthetic pathway and identify for miRNA genes and targets. Finally, the development of numerical features in the field of the ownership of discriminant of target genes in function, biological evolution and so on which provided a new train of thought for the numerical feature of miRNA in other field.
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