ConTour: Data-Driven Exploration of Multi-Relational Datasets for Drug Discovery
Caleydo is an open source visual analysis framework targeted at biomolecular data. It has been described in a number of publications and I noticed that a recent project ConTour included chemical structures.
Large scale data analysis is nowadays a crucial part of drug discovery. Biologists and chemists need to quickly explore and evaluate potentially effective yet safe compounds based on many datasets that are in relationship with each other. However, there is a is a lack of tools that support them in these processes. To remedy this, we developed ConTour, an interactive visual analytics technique that enables the exploration of these complex, multi-relational datasets.
Christian Partl, Alexander Lex, Marc Streit, Hendrik Strobelt, Anne-Mai Wassermann, Hanspeter Pfister, Dieter Schmalstieg ConTour: Data-Driven Exploration of Multi-Relational Datasets for Drug Discovery IEEE Transactions on Visualization and Computer Graphics (VAST '14), to appear, 2014.
I’ve added Caleydo to the listing of data analysis tools.