| 16S rDNA序列关键位点的信息论分析
| Information-Theory Analysis for Key Sites of 16S rDNA Sequence
|
| DOI:
| 中文关键词: 16S rDNA 分类 信息论 熵
| 英文关键词: 16S rDNA,taxonomy information theory entropy
| 基金项目:
| 作者
| 单位
| 周大为
| 江南大学,工业生物技术教育部重点实验室,江苏,无锡,214122
江南大学,生物工程学院,江苏,无锡,214122
| 于雪飞
| 江南大学,生物工程学院,江苏,无锡,214122
| 周少刚
| 江南大学,生物工程学院,江苏,无锡,214122
| 李炜疆
| 江南大学,工业生物技术教育部重点实验室,江苏,无锡,214122
江南大学,生物工程学院,江苏,无锡,214122
|
| 摘要点击次数: 209
| 全文下载次数: 714
| 中文摘要:
| 16S rDNA中含有较多的菌种特异性信息,但是如何使用这些信息进行菌种鉴定却因不同菌种间序列的特征变化缺少规律而变得困难。作者使用信息论方法对那些种内较保守,种间变异明显的关键位点进行研究。结果表明,16S rDNA序列中仅有少数位点对菌种的分类是重要的。基于少数关键位点的相似度比传统的全序列鉴定有着更好的统计学特性。
| 英文摘要:
| 16S rDNAs carry significant species-specific genetic information,but species identification is not straight forward because the sequence identity varies greatly for different species.In this manuscript,we analyze the key sites that are well conserved within species but significantly varied between species using an information theoretic approach.The method proposed by us was just using the sites(key sites) which contained more genetic information than that of the normal sites of the sequences,to classify the bacterium rather than using the overall sequence.Only a few sites of the whole sequences are responsible for the classification of species.The results presented here demonstrated that key-sites based similarity measures have much better statistical characteristics than that of the traditional overall sequence identity scores
| 查看全文 查看/发表评论 下载PDF阅读器
|
|