Title :
Discovering the dynamics of microbial genomes
Author :
Dalevi, Daniel ; Andersson, Siv G E
Author_Institution :
Dept. of Molecular Evolution, Uppsala Univ., Sweden
Abstract :
Although the molecular processes that generate genome diversity at the sequence level have been described in great detail, the underlying causes of genome expansion, degradation, rearrangement, and transfer of genes are less well understood. In this article, we describe the algorithms most frequently used to infer evolutionary relationships based on nucleotide sequence data. We also discuss novel phylogenetic schemes where the gene in the genome, rather than the nucleotide in the gene, represents the basic unit of comparison
Keywords :
DNA; biology computing; evolution (biological); genetics; inference mechanisms; microorganisms; molecular biophysics; physiological models; bacteria; bioinformatics; biological distances; evolutionary relationships; gene order data; genome diversity; learning rules; microbial genome dynamics; models development; molecular biology; nucleotide sequence data; phylogenetic schemes; Bioinformatics; DNA; Evolution (biology); Genomics; Humans; Microorganisms; Organisms; Pathogens; Phylogeny; Sequences;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE