Affiliation of Author(s):山东大学数学学院

Journal:Nucleic Acids Research

Abstract: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 ...

All the Authors:Mao, X.,Yin, Y.

First Author:Ma†, Q.,Li†, G.

Indexed by:Journal paper

Correspondence Author:Xu, Y.

Discipline:Natural Science

First-Level Discipline:Mathematics

Document Type:J

Volume:39

Issue:22

Translation or Not:no

Date of Publication:2011-09-01

Included Journals:SCI