In this talk, we describe transforming a theoretical algorithm from
structural graph theory into open-source software being actively used for
real-world data analysis in computational biology. Specifically, we apply
the r-dominating set algorithm for graph classes of bounded expansion in
the setting of metagenome analysis. We discuss algorithmic improvements
required for a practical implementation, alongside exciting preliminary
biological results (on real data!). Finally, we include a brief
retrospective on the collaboration process. No prior knowledge in
metagenomics or structural graph theory is assumed.
Based on joint work with T. Brown, D. Moritz, M. O’Brien, F. Reidl and T.