The visualization and analysis of biological systems and data as networks has become a hallmark of modern biology. Relationships between biological entities; individuals, proteins, genes, RNAs etc., can all be better understood at one level or another when modelled as networks. As the size of these data has grown, so has the need for better tools and algorithms to deal with the complex issue of network visualization and analysis. We describe application and evaluation of a state-of-the-art graph layout method for use within biological workflows.
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