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Michel Westenberg (Eindhoven University of Technology)We present visualization tools for microbial community analysis (BiotaViz) and exploring relations between annotation terms in biological data sets (COMBat). BiotaViz supports large-scale comparison of microbial community composition and corresponding sample parameters. Community composition can be analyzed at various degrees of detail with a navigable taxonomy. Large scale microbial abundance comparisons are enabled by superimposing abundance on the taxonomy as heat maps. Publication-ready images can be exported from BiotaViz. COMBat provides a framework to construct a co-occurrence matrix from combinations of data elements in annotation data sets. Each cell in this matrix stores a list of items associated with the combination of the corresponding row and column element. By re-arranging the rows and columns of this matrix, and color-coding the cell contents, patterns become visible. COMBat allows users to construct a new matrix on the fly by selecting subsets of items of interest, or filtering out uninteresting ones. Both tools facilitate efficient data exploration, enabling rapid identification of relevant trends in the data as well as the ability to explore hypotheses.