Genome-Based Population Clustering: Nuggets of Truth Buried in a Pile of Numbers?

Marina Ioannou (1) , George P. Patrinos (2) , Giannis Tzimas (3)

1 Department of Computer Engineering and Informatics [Patras]
2 University of Patras
3 ATEI - Applied informatics in management and economy [Messolonghi]

National/Ethnic population Mutation databases (NEMDBs) are online mutation depositories recording extensive information about the described genetic heterogeneity in populations and ethnic groups worldwide. FINDbase (http://www.findbase.org) is a database containing causative mutations and pharmacogenomic markers allele frequencies in various populations and ethnic groups. In this paper, we experiment with designing and applying new automated data mining techniques on the original FINDbase causative mutations data collection in an attempt to identify genomic relationships between populations. Furthermore, we have developed an interactive web-based visualization tool that enables users to correlate the information, determine the relationships and gain insight into the underlying data collection in a novel and meaningful way.

Mots clés: Data Mining; Genome-based Population Clustering; Data Visualization

Domaines: Informatique [cs]

Marina Ioannou, George P. Patrinos, Giannis Tzimas. Genome-Based Population Clustering: Nuggets of Truth Buried in a Pile of Numbers?. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. pp.602-611, ⟨10.1007/978-3-642-33412-2_62⟩. ⟨hal-01523036⟩