Obiettivo 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. Campo scientifico natural sciencescomputer and information sciencesdatabases Programma(i) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Argomento(i) FP7-PEOPLE-2012-IEF - Marie-Curie Action: "Intra-European fellowships for career development" Invito a presentare proposte FP7-PEOPLE-2012-IEF Vedi altri progetti per questo bando Meccanismo di finanziamento MC-IEF - Intra-European Fellowships (IEF) Coordinatore THE UNIVERSITY OF BIRMINGHAM Contributo UE € 221 606,40 Indirizzo Edgbaston B15 2TT Birmingham Regno Unito Mostra sulla mappa Regione West Midlands (England) West Midlands Birmingham Tipo di attività Higher or Secondary Education Establishments Contatto amministrativo May Chung (Ms.) Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Costo totale Nessun dato