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GeneNet Toolbox for MATLAB: a flexible platform for the analysis of gene connectivity in biological networks

机译:用于MATLAB的GeneNet工具箱:用于分析生物网络中基因连通性的灵活平台

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We present GeneNet Toolbox for MATLAB (also available as a set of standalone applications for Linux). The toolbox, available as command-line or with a graphical user interface, enables biologists to assess connectivity among a set of genes of interest ('seed-genes') within a biological network of their choosing. Two methods are implemented for calculating the significance of connectivity among seed-genes: 'seed randomization' and 'network permutation'. Options include restricting analyses to a specified subnetwork of the primary biological network, and calculating connectivity from the seed-genes to a second set of interesting genes. Pre-analysis tools help the user choose the best connectivity-analysis algorithm for their network. The toolbox also enables visualization of the connections among seed-genes. GeneNet Toolbox functions execute in reasonable time for very large networks (similar to 10 million edges) on a desktop computer.
机译:我们介绍了用于MATLAB的GeneNet工具箱(也可以作为Linux的一组独立应用程序使用)。该工具箱既可作为命令行使用,也可通过图形用户界面使用,使生物学家能够评估他们选择的生物网络内一组感兴趣的基因(“种子基因”)之间的连通性。实现了两种方法来计算种子基因之间的连通性的重要性:“种子随机化”和“网络排列”。选项包括将分析限制在主要生物网络的指定子网络中,以及计算从种子基因到第二组有趣基因的连通性。预先分析工具可帮助用户为其网络选择最佳的连接分析算法。该工具箱还可以可视化种子基因之间的联系。 GeneNet工具箱功能可在合理的时间内对台式计算机上的超大型网络(大约1000万个边缘)执行。

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