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toxoMine: an integrated omics data warehouse for Toxoplasma gondii systems biology research

机译:toxoMine:用于弓形虫系统生物学研究的集成组学数据仓库

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摘要

Toxoplasma gondii (T. gondii) is an obligate intracellular parasite that must monitor for changes in the host environment and respond accordingly; however, it is still not fully known which genetic or epigenetic factors are involved in regulating virulence traits of T. gondii. There are on-going efforts to elucidate the mechanisms regulating the stage transition process via the application of high-throughput epigenomics, genomics and proteomics techniques. Given the range of experimental conditions and the typical yield from such high-throughput techniques, a new challenge arises: how to effectively collect, organize and disseminate the generated data for subsequent data analysis. Here, we describe toxoMine, which provides a powerful interface to support sophisticated integrative exploration of high-throughput experimental data and metadata, providing researchers with a more tractable means toward understanding how genetic and/or epigenetic factors play a coordinated role in determining pathogenicity of T. gondii. As a data warehouse, toxoMine allows integration of high-throughput data sets with public T. gondii data. toxoMine is also able to execute complex queries involving multiple data sets with straightforward user interaction. Furthermore, toxoMine allows users to define their own parameters during the search process that gives users near-limitless search and query capabilities. The interoperability feature also allows users to query and examine data available in other InterMine systems, which would effectively augment the search scope beyond what is available to toxoMine. toxoMine complements the major community database ToxoDB by providing a data warehouse that enables more extensive integrative studies for T. gondii. Given all these factors, we believe it will become an indispensable resource to the greater infectious disease research community.>Database URL:
机译:弓形虫(T. gondii)是专性的细胞内寄生虫,必须监测宿主环境的变化并做出相应反应。然而,尚不清楚哪些遗传或表观遗传因素参与调节弓形虫的毒力性状。通过应用高通量表观基因组学,基因组学和蛋白质组学技术,人们正在努力阐明调节阶段过渡过程的机制。鉴于实验条件的范围和这种高通量技术的典型产量,出现了新的挑战:如何有效地收集,组织和传播所生成的数据以进行后续数据分析。在这里,我们描述了toxoMine,它提供了强大的界面来支持对高通量实验数据和元数据的复杂整合探索,为研究人员提供了一种更易于处理的手段,以了解遗传和/或表观遗传因素如何在确定T的致病性方面起协调作用。 。贡迪作为数据仓库,toxoMine允许将高通量数据集与公共弓形虫数据集成。 toxoMine还能够通过直接的用户交互来执行涉及多个数据集的复杂查询。此外,toxoMine允许用户在搜索过程中定义自己的参数,从而为用户提供几乎无限的搜索和查询功能。互操作性功能还允许用户查询和检查其他InterMine系统中可用的数据,这将有效地扩大搜索范围,超出toxoMine可用的范围。 toxoMine通过提供一个数据仓库来对弓形虫进行更广泛的综合研究,从而对主要社区数据库ToxoDB进行了补充。考虑到所有这些因素,我们认为它将成为更大的传染病研究社区必不可少的资源。>数据库URL:

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