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I've made my fair share of hairball networks over the years. but I don't think this fixes the issue. The problem is that biological network diagrams of sufficient detail to be accurate, are far too complicated to be useful. Plus, biologists are often sloppy with their data model for these things: mixing genes and proteins for example. In those cases, what does a line between two nodes even mean?

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If you have a complicated system, the best way to deal with the complexity is to organize it in some fashion. BioFabric provides a way to do that, since it allows the network to be arranged in a linear fashion. Kinda like the advantages of organized adjacency matrix views, but with the intuitive link-hopping model of node-link diagrams. I can't argue that if you put garbage data in, you get garbage out. But, over time, very large but high-quality biological networks will emerge.

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