Title :
Multi Level Clustering of Phylogenetic Profiles
Author :
Psomopoulos, Fotis E. ; Mitkas, Pericles A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
fDate :
May 31 2010-June 3 2010
Abstract :
The prediction of gene function from genome sequences is one of the main issues in Bioinformatics. Most computational approaches are based on the similarity between sequences to infer gene function. However, the availability of several fully sequenced genomes has enabled alternative approaches, such as phylogenetic profiles. Phylogenetic profiles are vectors which indicate the presence or absence of a gene in other genomes. The main concept of phylogenetic profiles is that proteins participating in a common structural complex or metabolic pathway are likely to evolve in a correlated fashion. In this paper, a multi level clustering algorithm of phylogenetic profiles is presented, which aims to detect inter- and intra-genome gene clusters.
Keywords :
biochemistry; bioinformatics; genetics; genomics; pattern clustering; proteins; proteomics; bioinformatics; gene function; genome sequences; inter-genome gene cluster; intra-genome gene clusters; metabolic pathway; multi level clustering algorithm; phylogenetic profiles; proteins; structural complex; Bioinformatics; Biomedical engineering; Clustering algorithms; Computational intelligence; Databases; Genomics; Intelligent systems; Phylogeny; Proteins; Software engineering; Algorithm; Clustering; Phylogenetic profiles;
Conference_Titel :
BioInformatics and BioEngineering (BIBE), 2010 IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4244-7494-3
DOI :
10.1109/BIBE.2010.67