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Insyght: navigating amongst abundant homologues, syntenies and gene functional annotations in bacteria, it's that symbol!

机译:Insyght:在细菌中丰富的同系物,同义语和基因功能注释之间导航,这就是该符号!

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摘要

High-throughput techniques have considerably increased the potential of comparative genomics whilst simultaneously posing many new challenges. One of those challenges involves efficiently mining the large amount of data produced and exploring the landscape of both conserved and idiosyncratic genomic regions across multiple genomes. Domains of application of these analyses are diverse: identification of evolutionary events, inference of gene functions, detection of niche-specific genes or phylogenetic profiling. Insyght is a comparative genomic visualization tool that combines three complementary displays: (i) a table for thoroughly browsing amongst homologues, (ii) a comparator of orthologue functional annotations and (iii) a genomic organization view designed to improve the legibility of rearrangements and distinctive loci. The latter display combines symbolic and proportional graphical paradigms. Synchronized navigation across multiple species and interoperability between the views are core features of Insyght. A gene filter mechanism is provided that helps the user to build a biologically relevant gene set according to multiple criteria such as presence/absence of homologues and/or various annotations. We illustrate the use of Insyght with scenarios. Currently, only Bacteria and Archaea are supported. A public instance is available at http://genome.jouy.inra.fr/Insyght. The tool is freely downloadable for private data set analysis.
机译:高通量技术大大提高了比较基因组学的潜力,同时带来了许多新的挑战。这些挑战之一涉及有效地挖掘大量产生的数据,并探索跨多个基因组的保守和特异基因组区域的格局。这些分析的应用领域是多种多样的:进化事件的鉴定,基因功能的推断,小生境特异性基因的检测或系统发育谱。 Insyght是一种比较基因组可视化工具,结合了三个互补的显示:(i)一张可在同源物中进行全面浏览的表格;(ii)直系同源物功能注释的比较器;(iii)旨在提高易读性和独特性的基因组组织视图位点。后者的显示结合了符号和比例图形范例。跨多个物种的同步导航以及视图之间的互操作性是Insyght的核心功能。提供了一种基因过滤器机制,该机制可帮助用户根据多种标准(例如是否存在同源物和/或各种注释)构建生物学相关的基因集。我们将Insyght与场景结合使用。目前,仅支持细菌和古细菌。可从http://genome.jouy.inra.fr/Insyght获得公共实例。该工具可免费下载以进行私有数据集分析。

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