灵活,高效和交互式检索支持内细菌的计算机研究

S. Montani, G. Leonardi, S. Ghignone, L. Lanfranco
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引用次数: 1

摘要

研究丛枝菌根真菌(AMFs)与其共生内菌之间的相互作用对生物技术新应用的开发具有潜在的重要意义。基因组数据和合成分析是获取此类生物系统发育关系和代谢功能信息的关键技术。在本文中,我们描述了一个基于案例的检索工具,它支持定制的比较基因组学搜索,并且是模块化架构的一部分,旨在支持在BIOBITS项目中开发的硅基因组序列分析。从方法论的角度来看,该工具利用了类似于时态抽象的抽象技术,因此可以忽略不相关的细节。通过使用这种多级抽象,检索变得灵活,通过使用适当的分类索引结构,检索变得高效。此外,允许最终用户以交互的方式逐步放松或改进他们的查询。本文使用来自应用程序领域的一个案例研究来说明该方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flexible, Efficient and Interactive Retrieval for Supporting In-silico Studies of Endobacteria
Studying the interactions between arbuscular mycorrhizal fungi (AMFs) and their symbiotic endo bacteria has potentially strong impacts on the development of new biotechnology applications. The analysis of genomic data and syntenies is a key technique for acquiring information about phylogenetic relationships and metabolic functions of such organisms. In this paper we describe a case-based retrieval tool, which supports customized comparative genomics searches, and which is part of a modular architecture meant to support in-silico genome sequence analysis, being developed within the project BIOBITS. From a methodological viewpoint, the tool takes advantage of an abstraction technique similar to Temporal Abstractions, thus allowing to neglect un-relevant details. Retrieval is made flexible by the use of such multi-level abstractions, and efficient by the use of proper taxonomical index structures. Moreover, end-users are allowed to progressively relax or refine their queries, in an interactive way. A case study taken from the application domain is used to illustrate the approach.
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