摘要
以大肠杆菌基因组为研究对象,基于体外组装的核小体序列中k-mers频数信息,采用多样性增量结合二次判别算法对核心DNA和连接DNA进行分类预测,整体准确率和相关系数分别达到83.08%和0.619.对大肠杆菌、酵母和人类基因组中核小体定位序列与缺失序列中偏好的k-mers进行了比较,结果表明核小体缺失序列更为保守.
A computational model of nucleosome core DNA and linker DNA of E. coli genome were developed by using the method of Increment of Diversity combined with Quadratic Discriminant analysis （ IDQD ）, based on k-mers frequency in sequence. The accuracy and correlation coefficient were 83.08% and 0.619, respectively. The preference of the k-mers of nucleosome core DNA and linker DNA on E. coli ,S. cerevisiae and human genome were compared,the results indicated that the linker DNA was more conservative.
出处
《信阳师范学院学报（自然科学版）》
CAS
北大核心
2013年第2期204-207,300,共5页
Journal of Xinyang Normal University(Natural Science Edition)
基金
国家自然科学基金项目(61271448)
内蒙古自然科学基金项目(2011MS0504)
内蒙古高等学校科研基金项目(NJZY12103)
关键词
大肠杆菌基因组
核小体定位
k-mers频数
多样性增量
二次判别
E. coil genome
nucleosome positioning
k-mers frequency
increment of diversity
quadratic discriminant analysis
