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iVirus: facilitating new insights in viral ecology with software and community data sets imbedded in a cyberinfrastructure

机译:iVirus:通过嵌入在网络基础架构中的软件和社区数据集促进病毒生态学的新见解

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摘要

Microbes affect nutrient and energy transformations throughout the world's ecosystems, yet they do so under viral constraints. In complex communities, viral metagenome (virome) sequencing is transforming our ability to quantify viral diversity and impacts. Although some bottlenecks, for example, few reference genomes and nonquantitative viromics, have been overcome, the void of centralized data sets and specialized tools now prevents viromics from being broadly applied to answer fundamental ecological questions. Here we present iVirus, a community resource that leverages the CyVerse cyberinfrastructure to provide access to viromic tools and data sets. The iVirus Data Commons contains both raw and processed data from 1866 samples and 73 projects derived from global ocean expeditions, as well as existing and legacy public repositories. Through the CyVerse Discovery Environment, users can interrogate these data sets using existing analytical tools (software applications known as ‘Apps') for assembly, open reading frame prediction and annotation, as well as several new Apps specifically developed for analyzing viromes. Because Apps are web based and powered by CyVerse supercomputing resources, they enable scalable analyses for a broad user base. Finally, a use-case scenario documents how to apply these advances toward new data. This growing iVirus resource should help researchers utilize viromics as yet another tool to elucidate viral roles in nature.
机译:微生物会影响整个世界生态系统中的养分和能量转化,但是它们在病毒的约束下会如此。在复杂的社区中,病毒宏基因组(病毒基因组)测序正在改变我们量化病毒多样性和影响的能力。尽管克服了一些瓶颈(例如,很少的参考基因组和非定量病毒学),但集中数据集和专用工具的缺失现在阻止病毒学广泛应用于回答基本的生态问题。在这里,我们介绍iVirus,这是一种利用CyVerse网络基础结构提供对病毒工具和数据集的访问的社区资源。 iVirus数据共享库包含来自1866年的样本和73个项目的原始数据和处理过的数据,这些项目来自全球海洋探险以及现有的和旧的公共资源库。通过CyVerse发现环境,用户可以使用现有的用于组装,开放阅读框预测和注释的分析工具(称为“应用程序”的软件应用程序)以及专门开发用于分析病毒体的多个新应用程序来查询这些数据集。由于Apps是基于Web的,并由CyVerse超级计算资源提供支持,因此它们可以为广泛的用户群提供可扩展的分析。最后,一个用例场景记录了如何将这些改进应用于新数据。不断增长的iVirus资源应有助于研究人员利用病毒学作为阐明自然界中病毒作用的另一种工具。

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