Suppr超能文献

基因聚类测试。

Tests for gene clustering.

作者信息

Durand Dannie, Sankoff David

机构信息

Department of Biological Sciences, Carnegie Mellon University, 4400 Fifth Avenue, Pittsburgh, PA 15213, USA.

出版信息

J Comput Biol. 2003;10(3-4):453-82. doi: 10.1089/10665270360688129.

Abstract

Comparing chromosomal gene order in two or more related species is an important approach to studying the forces that guide genome organization and evolution. Linked clusters of similar genes found in related genomes are often used to support arguments of evolutionary relatedness or functional selection. However, as the gene order and the gene complement of sister genomes diverge progressively due to large scale rearrangements, horizontal gene transfer, gene duplication and gene loss, it becomes increasingly difficult to determine whether observed similarities in local genomic structure are indeed remnants of common ancestral gene order, or are merely coincidences. A rigorous comparative genomics requires principled methods for distinguishing chance commonalities, within or between genomes, from genuine historical or functional relationships. In this paper, we construct tests for significant groupings against null hypotheses of random gene order, taking incomplete clusters, multiple genomes, and gene families into account. We consider both the significance of individual clusters of prespecified genes and the overall degree of clustering in whole genomes.

摘要

比较两个或多个相关物种的染色体基因顺序是研究引导基因组组织和进化的力量的重要方法。在相关基因组中发现的相似基因的连锁簇常被用来支持进化相关性或功能选择的论点。然而,由于大规模重排、水平基因转移、基因复制和基因丢失,姐妹基因组的基因顺序和基因组成逐渐分化,确定观察到的局部基因组结构相似性究竟是共同祖先基因顺序的残余,还是仅仅是巧合变得越来越困难。严格的比较基因组学需要有原则的方法来区分基因组内部或之间的偶然共性与真正的历史或功能关系。在本文中,我们构建了针对随机基因顺序零假设的显著分组检验,同时考虑了不完整的簇、多个基因组和基因家族。我们既考虑了预先指定基因的单个簇的显著性,也考虑了整个基因组的聚类总体程度。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验