Detection of homologous recombination events in bacterial genomes.
نام عام مواد
[Article]
نام نخستين پديدآور
Wang, Wei-Bung; Jiang, Tao; Gardner, Shea
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We study the detection of mutations, sequencing errors, and homologous recombination events (HREs) in a set of closely related microbial genomes. We base the model on single nucleotide polymorphisms (SNPs) and break the genomes into blocks to handle the rearrangement problem. Then we apply a dynamic programming algorithm to model whether changes within each block are likely a result of mutations, sequencing errors, or HREs. Results from simulation experiments show that we can detect 31%-61% of HREs and the precision of our detection is about 48%-90% depending on the rates of mutation and missing data. The HREfinder software for predicting HREs in a set of whole genomes is available as open source (http://sourceforge.net/projects/hrefinder/).