Abstract
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.
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Xie, J. et al. (2010). A Method for Querying Conserved Subnetwork in a Large-Scale Biomolecular Network. In: Zhang, W., Chen, Z., Douglas, C.C., Tong, W. (eds) High Performance Computing and Applications. Lecture Notes in Computer Science, vol 5938. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11842-5_65
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DOI: https://doi.org/10.1007/978-3-642-11842-5_65
Publisher Name: Springer, Berlin, Heidelberg
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