Though a number of statistical and computational methods have been developed to analyze RNA-seq data, the analytical framework specifically designed for evolutionary genomics remains an open question.
This is not surprising since PAML was designed for evolutionary analysis of complete open-reading frames (ORFs), not short exon-length regions, which probably provide too little information to reliably estimate both the branch lengths and codon frequencies in addition to the two rate parameters.
This work presents the SimBa (for Similarity-Based) crossover, a novel crossover operator specifically designed for the evolutionary optimization of neural network topologies that aims at overcoming one of the major problems generally related to the crossover operator, known as the permutation problem.
As we observed, the high homologous proteins (id > 45%) can be successfully aligned, using a matrices designed for large evolutionary distances.
In fact, standard phylogenetic approaches are not designed for such evolutionary distances, and sequence motifs and PSSM scores by themselves, though suggestive, cannot provide a rigorously proven phylogenetic affinity.
Through large taxon sampling and the use of a phylogenetic algorithm designed for inferring evolutionary events in highly divergent paralogs, we obtained a robust, parsimonious and more refined phylogenetic history of the recA/RAD51 superfamily.
The RGC_CAM method, combined with a procedure for rigorous statistical testing of competing phylogenetic affinities, is specifically designed for testing (rejecting) evolutionary hypotheses that are presented as unresolved trifurcations of clades.
However, despite many studies in RNA-seq data analysis (Lu et al. 2005; Robinson and Smyth 2007, 2008; Anders and Huber 2010; Di et al. 2011; Zhou et al. 2011; McCarthy et al. 2012), statistical methods designed specifically for evolutionary genomics have not been well developed.
This function is designed for understanding the performance of evolutionary algorithms on real world problems in which many "neutral networks" are assumed to be found.
The initial version of evolutionary approach, designed for construction of autoreplicators, is able to produce only small hypercycles composed of two or at most three autoreplicators.
In order to test the suitability of an evolutionary algorithm designed for real-world application, thorough parameter testing is needed to establish parameter sensitivity, solution quality reliability, and associated issues.
