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Flexible, Efficient and Interactive Retrieval for Supporting In-silico Studies of Endobacteria

机译:灵活,高效和交互式检索,支持内细菌的计算机模拟研究

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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.
机译:研究丛枝菌根真菌(AMFs)与它们的共生内生细菌之间的相互作用对新生物技术应用的发展具有潜在的强大影响。基因组数据和同义性分析是获取有关此类生物的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,该工具支持定制的比较基因组学搜索,并且是在BIOBITS项目中开发的,旨在支持计算机内基因组序列分析的模块化体系结构的一部分。从方法论的角度来看,该工具利用了类似于“时间抽象”的抽象技术,因此可以忽略无关紧要的细节。通过使用这种多层次的抽象,检索变得灵活,而通过使用适当的分类索引结构,检索变得高效。而且,允许最终用户以交互方式逐渐放松或完善其查询。来自应用程序领域的案例研究用于说明该方法。

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