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A Method for Querying Conserved Subnetwork in a Large-Scale Biomolecular Network

机译:一种在大型生物分子网络中查询保守子网的方法

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To uncover conserved pathways using systems biology methods, comparing various kinds of networks among different species or within a species becomes an increasingly important problem. With more and more molecular data being available, most of the current methods cannot deal with the large-scale networks owing to the computational scale limitation on a single PC or workstation. In this paper, we adopted an Immediate Neighbors-in-first Method for the biomolecular network querying problem. In contrast to other methods, we developed the parallel computing algorithm to treat large-scale networks. The efficient parallel performance of the present method is shown by Parkinson's Disease related protein interaction network.
机译:要使用系统生物学方法揭示保守途径,比较不同物种或物种内的各种网络成为越来越重要的问题。随着可用的越来越多的分子数据,由于单个PC或工作站的计算规模限制,大多数当前方法都无法处理大规模网络。在本文中,我们采用了一种用于生物分子网络查询问题的邻居邻居方法。与其他方法相比,我们开发了处理大规模网络的并行计算算法。本方法的有效平行性能由帕金森病相关蛋白质相互作用网络显示。

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