Constructing multigenome views of whole microbial genomes.

T Gaasterland, M A Ragan
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引用次数: 64

Abstract

We have designed and implemented a system to carry out cross-genome comparisons of open reading frames (ORFs) from multiple genomes. This implementation includes a genome profiling system that allows us to explore pairwise comparisons at different levels of match similarity and ask biologically motivated queries involving number and identity of ORFs, their function, functional category, distribution in genomes or in biological domains, and statistics on their matches and match families. This analysis required precise definition of new classification terms and concepts. We define the terms genomic signature, summary signature, biologic domain signature, domain class, match level, match family, and extended match family, then use these terms to define concepts, including genomically universal proteins and proteins characteristics of sets of genomes. We initiate an analysis based on automated FASTA (Pearson, 1996) comparison of 22,419 conceptually translated protein sequences from nine microbial genomes.

构建全微生物基因组的多基因组视图。
我们设计并实现了一个系统来进行来自多个基因组的开放阅读框(orf)的跨基因组比较。这个实现包括一个基因组分析系统,它允许我们在不同的匹配相似性水平上探索两两比较,并询问涉及orf的数量和身份、它们的功能、功能类别、在基因组或生物领域中的分布,以及它们的匹配和匹配家族的统计数据的生物学动机查询。这种分析需要对新的分类术语和概念进行精确的定义。我们定义了基因组特征、概要特征、生物结构域特征、结构域类别、匹配水平、匹配家族和扩展匹配家族,然后用这些术语定义了基因组通用蛋白和基因组组蛋白质特征等概念。我们启动了一项基于自动化FASTA (Pearson, 1996)的分析,比较了来自9个微生物基因组的22,419个概念翻译蛋白序列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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