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科学通报  2014 

基于多信息融合的酵母重组冷热点预测

DOI: 10.1360/972013-688, PP. 953-959

Keywords: 重组热点,k-mer频数热力学稳定性,核小体占据率

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Abstract:

减数分裂重组并非均匀发生在基因组上,而是在一些区域有着较高的重组频率(重组热点),在另一些区域重组频率较低(重组冷点).重组的发生不仅与序列特征有关,还依赖于染色质的结构.准确鉴定重组热点和冷点对于认识重组发生的分子机制以及基因组进化规律具有重要意义.本文首先在实验数据的基础上识别2kb尺度的重组冷热点,然后采用多样性增量结合二次判别分析(IDQD)和支持向量机(SVM)算法,基于一系列与DNA序列、结构及其热力学稳定性以及染色质结构相关的特征对酵母的重组冷热点进行了分类预测.结果表明,预测模型能够有效区分重组冷热点;从预测结果的敏感性、特异性和总精度来看,IDQD算法优于SVM算法.

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