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.
News and Activities
|19.12.2012||Caleydo 2.2 is released!
This release contains many bug fixes as well as an update to the latest Java (Java 7 is required now) and RCP versions.
|Linz, Graz, Cambridge, Boston|
|05.11.2012||Caleydo 2.1 including the enRoute
pathway visualization technique is available for download!
||Linz, Graz, Cambridge, Boston|
|16.10.2012||We are happy to announce that our paper enRoute:
Dynamic Path Extraction from Biological Pathway Maps for In-Depth Experimental Data
Analysis won the Best Paper Award at BioVis 2012. We thank the best paper
committee and the reviewers for their recognition! Have a look at the enRoute website to learn more about the
||Seattle, WA, USA|
|16.10.2012||You can find the slides for the VisWeek 2012 tutorial Connecting the
Dots - Showing Relationships in Data and Beyond by Marc Streit, Hans-Jörg Schulz and
Alexander lex on the tutorial
||Seattle, WA, USA|
|26.09.2012||Alexander Lex has taken a Post-Doc
position at the Graphics, Vision and
Interaction Lab at the Harvard School of
Engineering, making Harvard a new core partner of the Caleydo project.
You can find previous news and activities here.
Open Student Projects
We are always looking for new students. Below are some project ideas, but if you are interested in Information Visualization, just contact us and we will likely find a suitable project. Look at our student projects website to find out more!