Multi Level Clustering of Phylogenetic Profiles

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 intragenome gene clusters. Keywords- Algorithm; Clustering; Phylogenetic profiles

• Type: Conference
• Year: 2010
• Where: BIBE
• Authors: Fotis E. Psomopoulos, Pericles A. Mitkas
• Keywords: BIBE 2010, Bioinformatics, Gene Function, Most Computational Approaches, Phylogenetic Profiles