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MGcV:用于比较基因组分析的微生物基因组上下文查看器。

MGcV: the microbial genomic context viewer for comparative genome analysis.

机构信息

Centre for Molecular and Biomolecular Informatics, Radboud University Nijmegen Medical Centre, Geert Grooteplein Zuid 26-28, Nijmegen, 6525GA, The Netherlands.

出版信息

BMC Genomics. 2013 Apr 1;14:209. doi: 10.1186/1471-2164-14-209.

Abstract

BACKGROUND

Conserved gene context is used in many types of comparative genome analyses. It is used to provide leads on gene function, to guide the discovery of regulatory sequences, but also to aid in the reconstruction of metabolic networks. We present the Microbial Genomic context Viewer (MGcV), an interactive, web-based application tailored to strengthen the practice of manual comparative genome context analysis for bacteria.

RESULTS

MGcV is a versatile, easy-to-use tool that renders a visualization of the genomic context of any set of selected genes, genes within a phylogenetic tree, genomic segments, or regulatory elements. It is tailored to facilitate laborious tasks such as the interactive annotation of gene function, the discovery of regulatory elements, or the sequence-based reconstruction of gene regulatory networks. We illustrate that MGcV can be used in gene function annotation by visually integrating information on prokaryotic genes, like their annotation as available from NCBI with other annotation data such as Pfam domains, sub-cellular location predictions and gene-sequence characteristics such as GC content. We also illustrate the usefulness of the interactive features that allow the graphical selection of genes to facilitate data gathering (e.g. upstream regions, ID's or annotation), in the analysis and reconstruction of transcription regulation. Moreover, putative regulatory elements and their corresponding scores or data from RNA-seq and microarray experiments can be uploaded, visualized and interpreted in (ranked-) comparative context maps. The ranked maps allow the interpretation of predicted regulatory elements and experimental data in light of each other.

CONCLUSION

MGcV advances the manual comparative analysis of genes and regulatory elements by providing fast and flexible integration of gene related data combined with straightforward data retrieval. MGcV is available at http://mgcv.cmbi.ru.nl.

摘要

背景

保守的基因上下文被广泛应用于多种类型的比较基因组分析中。它可以帮助我们推测基因的功能,指导调控序列的发现,还可以帮助我们重建代谢网络。我们开发了微生物基因组上下文查看器(MGcV),这是一个交互式的、基于网络的应用程序,专门用于加强细菌的手动比较基因组上下文分析。

结果

MGcV 是一个多功能、易于使用的工具,可以为用户提供任何一组选定基因、系统发育树内的基因、基因组片段或调控元件的基因组上下文的可视化呈现。它专门用于辅助完成繁琐的任务,如交互式注释基因功能、发现调控元件,或基于序列重建基因调控网络。我们通过将细菌基因的信息,如来自 NCBI 的注释,与 Pfam 结构域、亚细胞位置预测和基因序列特征(如 GC 含量)等其他注释数据进行直观地整合,展示了 MGcV 如何用于基因功能注释。我们还展示了交互功能的实用性,这些功能允许通过图形选择基因来方便地收集数据(例如上游区域、ID 或注释),从而简化转录调控的分析和重建。此外,还可以上传、可视化和解释潜在的调控元件及其相应的分数,或来自 RNA-seq 和微阵列实验的数据,并在(排名)比较上下文图谱中进行解释。排名图谱允许根据彼此的情况对预测的调控元件和实验数据进行解释。

结论

MGcV 通过提供快速灵活的基因相关数据集成以及简单的数据检索,推动了基因和调控元件的手动比较分析。MGcV 可在 http://mgcv.cmbi.ru.nl 上获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fc3/3639932/57411f3107ea/1471-2164-14-209-1.jpg

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