Thumbnails:
List:
Year:
Category:
Session:
Poster:
Getting poster data...
Régis Ongaro-Carcy, Mickael Leclercq, Adrien Dessemond, Marie-Pier Scott-Boyer, François Belleau, Olivier Perin, Arnaud Droit (Computational Biology Laboratory, Centre de recherche du CHU de Québec - Université Laval 2705 boul. Laurier, R-4773)
Biological datasets have grown exponentially in size and complexity. Genome sequences, biomolecules structures or proteins sequences generated by cancer and omics research now represent petabytes of data. To organize these data, hundreds of bioinformatics repositories exist. But they are disparate and biologists constantly need to move from a database to another. They also have to adapt their data through various mediums. Finally, Biologists have difficulties to manage very large outputs generated by their last generation laboratory equipment and practical free solutions are difficult to find. We then introduce Kibio, a new portal dedicated to the scientific community, that provide complex search queries simultaneously within many interconnected databases. By gathering bioinformatics databases, Kibio allows high efficiency searches in billions documents and also maintains a graph of relationships between indexed databases. Kibio will be available to use as a service, and is compatible with computer hardware ranging from laptop to full-sized cluster of servers. It will provide any research team with an integrative framework to proficiently analyze all sorts of biomedical data.