One of the best ways for researchers to understand their data is to visually look for patterns within that data. However, the scale of genome-wide datasets prevents traditional methods and devices from fully displaying these data. We are developing techniques that utilize large-scale display devices as well as traditional displays in order to show researchers the information that they need to extract from their data.
- Wallace G, Anshus OJ, Bi P, Chen H, Chen Y, Clark D, Cook P, Finkelstein A, Funkhouser T, Gupta A, Hibbs MA, Li K, Liu Z, Samanta R, Sukthankar R, Troyanskaya OG. Tools and applications for large-scale display walls. IEEE computer graphics and applications, 2005
- Hibbs MA, Wallace G, Dunham M, Li K, Troyanskaya OG. Viewing the Larger Context of Genomic Data through Horizontal Integration. 11th International Conference Information Visualization (IV07), 2007
- Hibbs MA, Dirksen NC, Li K, Troyanskaya OG. Visualization methods for statistical analysis of microarray clusters. BMC Bioinformatics, 2005
- Gehlenborg N, O'Donoghue SI, Baliga NS, Goesmann A, Hibbs MA, Kitano H, Kohlbacher O, Neuweger H, Schneider R, Tenenbaum D, Gavin A. Visualization of omics data for systems biology. Nature Methods, 2010