Objectif Biological sequence databases are a core source of information in the life sciencesand have nowadays grown to multiple thousand entries. Classically, a query of a sequence to such adatabase requires the comparison of the query to each entry using an alignment algorithm,like fasta, smith-Waterman or blast. Many realtime and high-througput experiments relyon a quick identification of the query to decide the next steps in the experimental pipelineand are currently slown down by the costs of the classical retrieval systems.The main objective of this proposal is to provide quick large-scale identificationalgorithms in non-metric spaces, induced by the scoring functions for sequence-alignments.Thereby, the proposal aims on techniques which avoid the full calculations of the scoringsduring training and retrieval, employing different mathematical and probabilistic approximation techniques. Champ scientifique natural sciencescomputer and information sciencesdatabases Programme(s) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Thème(s) FP7-PEOPLE-2012-IEF - Marie-Curie Action: "Intra-European fellowships for career development" Appel à propositions FP7-PEOPLE-2012-IEF Voir d’autres projets de cet appel Régime de financement MC-IEF - Intra-European Fellowships (IEF) Coordinateur THE UNIVERSITY OF BIRMINGHAM Contribution de l’UE € 221 606,40 Adresse Edgbaston B15 2TT Birmingham Royaume-Uni Voir sur la carte Région West Midlands (England) West Midlands Birmingham Type d’activité Higher or Secondary Education Establishments Contact administratif May Chung (Ms.) Liens Contacter l’organisation Opens in new window Site web Opens in new window Coût total Aucune donnée