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联合循环末端模型改进基于协方差模型的非编码rna基因搜索Joint Loop End Modeling Improves Covariance Model Based Non-coding RNA Gene Search |
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| 课程网址: | http://videolectures.net/prib2010_smith_jlmi/ |
| 主讲教师: | Jennifer A. Smith |
| 开课单位: | 博伊斯州立大学 |
| 开课时间: | 2010-10-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The effect of more detailed modeling of the interface between stem and loop in non-coding RNA hairpin structures on efficacy of covariance-model-based non-coding RNA gene search is examined. Currently, the prior probabilities of the two stem nucleotides and two loop-end nucleotides at the interface are treated the same as any other stem and loop nucleotides respectively. Laboratory thermodynamic studies show that hairpin stability is dependent on the identities of these four nucleotides, but this is not taken into account in current covariance models. It is shown that separate estimation of emission priors for these nucleotides and joint treatment of substitution probabilities for the two loop-end nucleotides leads to improved non-coding RNA gene search. |
| 关 键 词: | 非编码RNA; 协方差模型; 概率 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-14：lxf |
| 阅读次数: | 61 |