%0 Journal Article
%T Analysis of similarity of DNA sequences based on a measure of information discrepancy<br>基于信息离散度的DNA序列相似性分析
%A LUO Jia-wei
%A LIU Fang
%A YANG Hua
%A <br>骆嘉伟
%A 刘芳
%A 杨华
%J 计算机应用
%D 2009
%I 
%X Function of Degree of Disagreement (FDOD) has been successfully applied to the research of bioinformatics. Its performance is greatly impacted by the length of subsequence, when the information included in a sequence is described by its subsequence distribution. In this paper, we proposed a new representation called base-base information set to characterize the sequence, then computed the distance between two sequences by FDOD. The base-base information set comprises the joint probabilities of base pair at ...
%K base pair
%K complete information set
%K FDOD
%K similarity<br>碱基对
%K 完全信息集
%K 离散度函数
%K 相似性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=9483359F909FE8121548F0DDF100D2EE&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=CA4FD0336C81A37A&sid=1A363081E1FF7014&eid=4E6F5C60B72D9B1C&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=19