基因组:按需多基因组比较和比较注释

C. Gibas, D. Sturgill, J. Weller
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引用次数: 2

摘要

GenoMosaic是一个便携式的按需多基因组比较数据库应用程序。我们讨论了从基因组序列数据中生成基因组数据集的方法,并给出了应用中使用的关系数据模型。我们定义了基因组序列数据的抽象(特征拼接),它允许我们在描述单个基因内的特征的注释和描述可能包括多个基因和基因组序列长片段的基因间特征的注释之间架起桥梁。该项目的目标是支持按需多基因组比较的新方法开发。每个要比较的基因组都可以被建模为一串可以计算定义的任何类型的通用特征,通过基因组内部和基因组之间的邻接信息联系起来。通用特征抽象使得研究基因组中特征的排列成为可能,这些特征包括RNA基因、假定的调控区域、snp、重叠转录本、内含子剪接连接、可选的聚腺苷化信号——简而言之,将不一定在蛋白质编码区域内的重要序列细节结合起来。这种抽象适用于作为关系数据模型的功能实现,可以在其上构建新的查询功能,并提供可以使用比较字符串和列表的算法进行分析的对象。作为最初的努力,我们已经实现了一个原型,使用一组具有代表性的比较和基于内容的注释方法,将原核基因组集合减少到特征马赛克表示。然后使用实体-关系建模来开发能够存储详细结果的数据模型,包括每个分析实例的完整参数。
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GenoMosaic: on-demand multiple genome comparison and comparative annotation
GenoMosaic is a portable database application for on demand multiple genome comparison. We discuss the methods used to generate a GenoMosaic data set from genome sequence data, and present the relational data model used in the application. We define an abstraction of genome sequence data (the feature mosaic) that allows us to bridge between annotation that describes features within single genes and that which includes possibly multiple genes and intergenic features over long stretches of genomic sequence. The goal of this project is to support new method development for on-demand multiple genome comparison. Each genome to be compared can be modeled as a string of generic features of any type that can be computationally defined, related by adjacency information within and among genomes. The generic feature abstraction makes it possible to study the arrangement of features in the genome at a level of detail which includes RNA genes, putative regulatory regions, SNPs, overlapping transcripts, intron splice junctions, alternative polyadenylation signals-in short, to incorporate significant sequence details which are not necessarily within protein-coding regions. This abstraction is amenable to functional implementation as a relational data model upon which novel query capabilities can be built, and provides objects that can be analyzed using algorithms for comparison of strings and lists. As an initial effort, we have implemented a prototype using a representative set of comparative and content-based annotation methods to reduce a collection of prokaryotic genomes to a feature mosaic representation. Entity-Relationship modeling was then used to develop a data model capable of storing detailed results, including complete parameters for each instance of analysis.
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