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German scientists describe a new methodology for analyzing and representing complicated protein networks in a paper published recently in PLoS Computational Biology. Called Power Graphs, this technique reduces complexity by "explicitly representing re-occurring network motifs," and can be applied to all types of networks, including protein-protein interactions, regulatory, and homology networks.

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In PLOS this week: genetic analysis of tremor condition, analysis of a West and Central African tree used in traditional medicine, and more.