Caleydo is an open source visual analysis framework targeted at biomolecular data. The biggest strength of Caleydo is the visualization of interdependencies between multiple datasets. Caleydo can load tabular data and groupings/clusterings. You can explore relationships between multiple groupings, between different datasets and see how your data maps onto pathways.
Caleydo has been successfully used to analyze mRNA, miRNA, methylation, copy number variation, mutation status and clinical data as well as other datset types.
All published parts of the software are available as open source. Developers and researchers that want to use or enhance the current tools are invited to contribute. See our Github page for further details.
19 Jun 2015 | Open PostDoc and PhD Student Position @ University of Utah
We are seeking a postdoctoral fellow and multiple PhD students to join the Caleydo team at the University of Utah. For the postdoctoral position, please refer to this announcement. If you are interested in the University of Utah PhD program, please get in touch with Alexander Lex at firstname.lastname@example.org.
18 Jun 2015 | Team Updates
The University of Utah joins the Caleydo Partners as Alexander Lex will join the Scientific Computing and Imaging Institute and the School of Computing in the fall of 2015.
1 Jun 2015 | New PostDoc
Kasper Dinkla joins the Caleydo team as a postdoctoral fellow at Harvard University. Welcome Kasper!
22 Apr 2015 | Open Research Assistant Position @ JKU Linz
Interested in doing a PhD in the Caleydo project? We have an open Research Assistant position in the field of Information Visualization / Visual Analytics at the Johannes Kepler University Linz, Austria. Find more information in the detailed job announcement.
Earlier news ...
- Vials: Visualizing Alternative Splicing of Genes
IEEE Transactions on Visualization and Computer Graphics (InfoVis ’15), vol. 22, no. 1, pp. 399-408, 2016
- Show me the Invisible: Visualizing Hidden Content
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’14), pp. 3705-3714, 2014
- Guided Visual Exploration of Genomic Stratifications in Cancer
Nature Methods, 11, pp. 884–885, 2014
- UpSet: Visualization of Intersecting Sets
IEEE Transactions on Visualization and Computer Graphics (InfoVis '14), vol. 20, no. 12, pp. 1983–1992, 2014
- Domino: Extracting, Comparing, and Manipulating Subsets across Multiple Tabular Datasets
IEEE Transactions on Visualization and Computer Graphics (InfoVis '14), 20(12), pp. 2023-2032, 2014
- ConTour: Data-Driven Exploration of Multi-Relational Datasets for Drug Discovery
IEEE Transactions on Visualization and Computer Graphics (VAST '14), 20(12), pp. 1883-1892, 2014
- Furby: Fuzzy Force-Directed Bicluster Visualization
BMC Bioinformatics, 15(Suppl 6), p. S4, 2014
- Characterizing Cancer Subtypes using the Dual Analysis Approach in Caleydo StratomeX
IEEE Computer Graphics and Applications, 34(2), pp. 38–47, 2014