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Genome Environment Browser (GEB): a dynamic browser for visualising high-throughput experimental data in the context of genome features

机译:Genome Environment Browser(GEB):一种动态浏览器,用于在基因组特征的情况下可视化高通量实验数据

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Background There is accumulating evidence that the milieu of repeat elements and other non-genic sequence features at a given chromosomal locus, here defined as the genome environment, can play an important role in regulating chromosomal processes such as transcription, replication and recombination. The availability of whole-genome sequences has allowed us to annotate the genome environment of any locus in detail. The development of genome wide experimental analyses of gene expression, chromatin modification and chromatin proteins means that it is now possible to identify potential links between chromosomal processes and the underlying genome environment. There is a need for novel bioinformatic tools that facilitate these studies. Results We developed the Genome Environment Browser (GEB) in order to visualise the integration of experimental data from large scale high throughput analyses with repeat sequence features that define the local genome environment. The browser has incorporated dynamic scales adjustable in real-time, which enables scanning of large regions of the genome as well as detailed investigation of local regions on the same page without the need to load new pages. The interface also accommodates a 2-dimensional display of repetitive features which vary substantially in size, such as LINE-1 repeats. Specific queries for preliminary quantitative analysis of genome features can also be formulated, results of which can be exported for further analysis. Conclusion The Genome Environment Browser is a versatile program which can be easily adapted for displaying all types of genome data with known genomic coordinates. It is currently available at http://web.bioinformatics.ic.ac.uk/geb/ .
机译:背景技术越来越多的证据表明,在给定的染色体基因座(此处定义为基因组环境)中,重复元件和其他非基因序列特征的环境可以在调节染色体过程(例如转录,复制和重组)中发挥重要作用。全基因组序列的可用性使我们能够详细注释任何基因座的基因组环境。基因表达,染色质修饰和染色质蛋白的全基因组实验分析的发展意味着,现在有可能确定染色体过程与基础基因组环境之间的潜在联系。需要有助于这些研究的新颖的生物信息学工具。结果我们开发了基因组环境浏览器(GEB),以可视化来自大规模高通量分析的实验数据与定义本地基因组环境的重复序列特征的整合。该浏览器集成了可实时调整的动态标尺,可以扫描基因组的大区域,并在同一页面上详细研究局部区域,而无需加载新页面。该界面还可以容纳尺寸重复很大的重复特征的二维显示,例如LINE-1重复。还可以制定对基因组特征进行初步定量分析的特定查询,其结果可以导出以进行进一步分析。结论基因组环境浏览器是一个通用程序,可以很容易地适应显示已知基因组坐标的所有类型的基因组数据。当前可从http://web.bioinformatics.ic.ac.uk/geb/获得。

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