Guided Visual Exploration of Genomic Stratifications in Cancer


Cancer is a heterogeneous disease, and molecular profiling of tumors from large cohorts has enabled characterization of new tumor subtypes. This is a prerequisite for improving personalized treatment and ultimately achieving better patient outcomes. Potential tumor subtypes can be identified with methods such as unsupervised clustering or network-based stratification, which assign patients to sets based on high-dimensional molecular profiles. Detailed characterization of identified sets and their interpretation, however, remain a time-consuming exploratory process.

To address these challenges, we combined ‘StratomeX’, an interactive visualization tool that is freely available at, with exploration tools to efficiently compare multiple patient stratifications, to correlate patient sets with clinical information or genomic alterations and to view the differences between molecular profiles across patient sets. Although we focus on cancer genomics here, StratomeX can also be applied in other disease cohorts.

In Nature Methods


Marc Streit, Alexander Lex, Samuel Gratzl, Christian Partl, Dieter Schmalstieg, Hanspeter Pfister, Peter Park, Nils Gehlenborg
Guided Visual Exploration of Genomic Stratifications in Cancer
Nature Methods, 11(9): 884–885, doi:10.1038/nmeth.3088, 2014. IEEE Transactions on Visualization and Computer Graphics.

Samuel Gratzl
Samuel Gratzl
Toolsmith for explorers of the information landscape on their treasure hunt for valuable insights

Research Software Engineer with a focus on interactive data exploration