title: Advances in computer simulation of genome evolution: toward more realistic evolutionary genomics analysis by approximate bayesian computation.
abstract: NGS technologies present a fast and cheap generation of genomic data. Nevertheless, ancestral genome inference is not so straightforward due to complex evolutionary processes acting on this material such as inversions, translocations, and other genome rearrangements that, in addition to their implicit complexity, can co-occur and confound ancestral inferences. Recently, models of genome evolution that accommodate such complex genomic events are emerging. This letter explores these novel evolutionary models and proposes their incorporation into robust statistical approaches based on computer simulations, such as approximate Bayesian computation, that may produce a more realistic evolutionary analysis of genomic data. Advantages and pitfalls in using these analytical methods are discussed. Potential applications of these ancestral genomic inferences are also pointed out.
authors: Centre for Molecular Biology "Severo Ochoa", Consejo Superior de Investigaciones Científicas (CSIC), Universidad Autónoma de Madrid (CSIC-UAM), C/Nicolás Cabrera, 1, Cantoblanco, 28049, Madrid, Spain, marenas@cbm.csic.es.
authors: Miguel
authors: M
authors: Arenas
mesh_terms: D001499:Bayes Theorem; D003198:Computer Simulation; D019143:Evolution, Molecular; D016678:Genome; D023281:Genomics; D059014:High-Throughput Nucleotide Sequencing; D008957:Models, Genetic; D017422:Sequence Analysis, DNA