MOTIVATION: Iqbal et al. (Nature Genetics, 2012) introduced the colored de Bruijn graph , a variant of the classic de Bruijn graph, which is aimed at "detecting and genotyping simple and complex genetic variants in an individual or population". Because they are intended to be applied to massive population level data, it is essential that the graphs be represented efficiently. Unfortunately, current succinct de Bruijn graph representations are not directly applicable to the colored de Bruijn graph, which requires additional information to be succinctly encoded as well as support for non-standard traversal operations. RESULTS: Our data structure dramatically reduces the amount of memory required to store and use the colored de Bruijn graph, with some penalty to runtime, allowing it to be applied in much larger and more ambitious sequence projects than was previously possible. AVAILABILITY: CONTACT:

Martin D. Muggli, Alex Bowe, Noelle R. Noyes, Paul Morley, Keith Belk, Rob Raymond, Travis Gagie, Simon Puglisi, and Christina Boucher. In press at Journal of Bioinformatics (Impact Factor = 5.766)