Computational biology has been growing by leaps and bounds over the last couple years. One area that has raised specific interest is using computational analysis of the evolutional relationship between different species from phylogenetic attributes.
The problem is that with increasing computational capacity the amount of data that can be handled has grown to a point where the resulting trees are hard to understand and analyze. In addition to that current research is moving away from the simple tree structure to a more general graph connection system. Visualizing them graphically is one way of alleviating the complexity problem. But they have grown too big for simple visualization techniques. The full tree of life contains more than a million species, too many to show them all. The goal of this projects is to look into hyperbolic visualization methods that allow focusing on specific areas without losing context.