On open problems in biological network visualization

Much of the data created and analyzed by the so-called life
sciences (i.e. biochemistry, botany, cell biology, genetics, molecular biology,
and biology) can be interpreted and represented by graphs. Many
general as well as special purpose graph drawing tools and libraries for
the layout and drawing of graphs are available, but they are either not
adequate for handling large graphs or do not adhere to the general drawing
conventions and recognized layouts of biological networks. In this
paper we describe some representative use cases that are required for
presenting, exploring, curating, and comparing graphs in bioinformatics.