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使用CentiBiN探索生物网络中心性

Exploration of biological network centralities with CentiBiN.

作者信息

Junker Björn H, Koschützki Dirk, Schreiber Falk

机构信息

Bioinformatics Research Group, SRI International, 333 Ravenswood Ave EK207, Menlo Park, CA 94025, USA.

出版信息

BMC Bioinformatics. 2006 Apr 21;7:219. doi: 10.1186/1471-2105-7-219.

DOI:10.1186/1471-2105-7-219
PMID:16630347
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1524990/
Abstract

BACKGROUND

The elucidation of whole-cell regulatory, metabolic, interaction and other biological networks generates the need for a meaningful ranking of network elements. Centrality analysis ranks network elements according to their importance within the network structure and different centrality measures focus on different importance concepts. Central elements of biological networks have been found to be, for example, essential for viability.

RESULTS

CentiBiN (Centralities in Biological Networks) is a tool for the computation and exploration of centralities in biological networks such as protein-protein interaction networks. It computes 17 different centralities for directed or undirected networks, ranging from local measures, that is, measures that only consider the direct neighbourhood of a network element, to global measures. CentiBiN supports the exploration of the centrality distribution by visualising central elements within the network and provides several layout mechanisms for the automatic generation of graphical representations of a network. It supports different input formats, especially for biological networks, and the export of the computed centralities to other tools.

CONCLUSION

CentiBiN helps systems biology researchers to identify crucial elements of biological networks. CentiBiN including a user guide and example data sets is available free of charge at http://centibin.ipk-gatersleben.de/. CentiBiN is available in two different versions: a Java Web Start application and an installable Windows application.

摘要

背景

全细胞调节、代谢、相互作用及其他生物网络的阐释引发了对网络元素进行有意义排序的需求。中心性分析根据网络元素在网络结构中的重要性对其进行排序,不同的中心性度量关注不同的重要性概念。例如,已发现生物网络的中心元素对生存能力至关重要。

结果

CentiBiN(生物网络中的中心性)是一种用于计算和探索生物网络(如蛋白质 - 蛋白质相互作用网络)中中心性的工具。它为有向或无向网络计算17种不同的中心性,范围从局部度量(即仅考虑网络元素直接邻域的度量)到全局度量。CentiBiN通过可视化网络中的中心元素支持对中心性分布的探索,并提供多种布局机制以自动生成网络的图形表示。它支持不同的输入格式,特别是对于生物网络,还支持将计算出的中心性导出到其他工具。

结论

CentiBiN有助于系统生物学研究人员识别生物网络的关键元素。可在http://centibin.ipk - gatersleben.de/免费获取包含用户指南和示例数据集的CentiBiN。CentiBiN有两种不同版本:Java Web Start应用程序和可安装的Windows应用程序。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7864/1524990/452987a60d4b/1471-2105-7-219-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7864/1524990/7fb9e09f371b/1471-2105-7-219-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7864/1524990/0c0650ea8082/1471-2105-7-219-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7864/1524990/452987a60d4b/1471-2105-7-219-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7864/1524990/7fb9e09f371b/1471-2105-7-219-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7864/1524990/0c0650ea8082/1471-2105-7-219-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7864/1524990/452987a60d4b/1471-2105-7-219-3.jpg

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