COMBat : visualizing co-occurrence of annotation terms

R.B.J. van Brakel, M.W.E.J. Fiers, C. Francke, M.A. Westenberg, H.M.M. Wetering, van de

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)


We propose a visual analysis approach that employs a matrix-based visualization technique to explore relations between annotation terms in biological data sets. Our flexible framework provides various ways to form combinations of data elements, which results in a co-occurrence matrix. 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. Our prototype tool COMBat allows users to construct a new matrix on the fly by selecting subsets of items of interest, or filtering out uninteresting ones, and it provides variousadditional interaction techniques. We illustrate our approach with a few case studies concerning the identification of functional links between the presence of particular genes or genomic sequences and particular cellular processes.
Original languageEnglish
Title of host publication2013 IEEE Symposium on Biological Data Visualization (BioVis, Atlanta GA, USA, October 13-14, 2013)
EditorsJ. Roerdink, J. Kennedy
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Print)978-1-4799-1659-7
Publication statusPublished - 2013
Event3rd IEEE Symposium on Biological Data Visualization (BioVis 2013), October 13-14, 2013, Atlanta, GA, USA - Atlanta, GA, United States
Duration: 13 Oct 201314 Oct 2013


Conference3rd IEEE Symposium on Biological Data Visualization (BioVis 2013), October 13-14, 2013, Atlanta, GA, USA
Abbreviated titleBioVis 2013
Country/TerritoryUnited States
CityAtlanta, GA
Internet address


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