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所属单位：山东大学数学学院

发表刊物：Nucleic Acids Research

摘要：Existing methods for orthologous gene mapping suffer from two general problems: (i) they are computationally too slow and their results are difficult to interpret for automated large-scale applications when based on phylogenetic analyses; or (ii) they are too prone to making mistakes in dealing with complex situations involving horizontal gene transfers and gene fusion due to the lack of a sound basis when based on sequence similarity information. We present a novel algorithm, Global Optimization Strategy (GOST), for orthologous gene mapping through combining sequence similarity and ...

全部作者：Mao, X.,Yin, Y.

第一作者：Ma†, Q.,Li†, G.

论文类型：期刊论文

通讯作者：Xu, Y.

学科门类：理学

一级学科：数学

文献类型：J

卷号：39

期号：22

是否译文：否

发表时间：2011-09-01

收录刊物：SCI