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Advances in Computer Simulation of Genome Evolution: Toward More Realistic Evolutionary Genomics Analysis by Approximate Bayesian Computation

AutorArenas, Miguel
Palabras claveComputer simulations
Genome evolution
Molecular evolution
Population genetics
Approximate Bayesian computation
Fecha de publicación26-mar-2015
EditorSpringer
CitaciónJournal of Molecular Evolution 80: 189- 192 (2015)
Resumen© 2015, Springer Science+Business Media New York. 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.
URIhttp://hdl.handle.net/10261/133152
DOI10.1007/s00239-015-9673-0
Identificadoresdoi: 10.1007/s00239-015-9673-0
issn: 0022-2844
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