Huntley Derek, Tang Y Amy, Nesterova Tatyana B, Butcher Sarah, Brockdorff Neil
Centre for Bioinformatics, Division of Molecular Biosciences, Imperial College London, London SW7 2AZ, UK.
BMC Bioinformatics. 2008 Nov 27;9:501. doi: 10.1186/1471-2105-9-501.
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.
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.
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/.
越来越多的证据表明,给定染色体位点处的重复元件和其他非基因序列特征的环境(此处定义为基因组环境)在调节染色体过程(如转录、复制和重组)中可发挥重要作用。全基因组序列的可用性使我们能够详细注释任何位点的基因组环境。全基因组范围的基因表达、染色质修饰和染色质蛋白实验分析的发展意味着现在有可能确定染色体过程与潜在基因组环境之间的潜在联系。需要新的生物信息学工具来促进这些研究。
我们开发了基因组环境浏览器(GEB),以便可视化来自大规模高通量分析的实验数据与定义局部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缩放功能,这使得能够扫描基因组的大片区域,并在同一页面上对局部区域进行详细研究,而无需加载新页面。该界面还能二维显示大小差异很大的重复特征,如LINE-1重复序列。还可以制定对基因组特征进行初步定量分析的特定查询,其结果可导出以供进一步分析。
基因组环境浏览器是一个通用程序,可轻松调整以显示具有已知基因组坐标的所有类型的基因组数据。目前可在http://web.bioinformatics.ic.ac.uk/geb/获取。