Getting poster data...
Leyla Garcia, Xavier Watkins, Maria J Martin (EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom)The growth of ‘omics’ disciplines and increases of volume and diversity of bioinformatics data leads to various challenges of data integration and visualization. Data integration involves composition and analysis of data from multiple sources, while visualization aims to offer compact views of different data aspects that may otherwise be unclear. In the protein field, information is provided at different levels: prediction of domains and sites –InterPro, biological macromolecular structures –PDBe, and reviewed and automatic annotation of protein sequences –UniProt. Here we present a visualization approach integrating protein data from various sources in different formats, e.g. sequences, features, and structures. By displaying features in tracks representing different categories, this viewer provides an intuitive spatial picture of co-localized features. These tracks provide an overview of the data, and can be expanded to reveal a more in-depth view of the underlying data, sometimes providing a particularly tailored visualization, e.g. for variation data. Interactivity across components enables users to map features directly to sequences and structures