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.
3 Oct 2014 | Harvard Medical School and OpenHelix report on StratomeX
26 Sep 2014 | Caleydo 3.1.4 is released
This is a minor release fixing a data import bug.More...
8 Sep 2014 | GenomeWeb BioInform covers StratomeX publication
31 Aug 2014 | Nature Methods paper on StratomeX
Check out our latest paper on StratomeX, which was just published in Nature Methods. In this paper we describe how we integrated a sophisticated computational framework directly into the StratomeX visualization technique to enable rapid exploration of tens of thousands of stratifications in cancer genomics data, creating a unique and powerful tool for the identification and characterization of tumor subtypes. The tool can handle a wide range of genomic and clinical data types for cohorts with hundreds of patients. StratomeX also provides direct access to comprehensive data sets generated by The Cancer Genome Atlas Firehose analysis pipeline.More...