A Monte Carlo approach successfully identifies randomness in multiple sequence alignments: a more objective means of data exclusion.

Random similarity of sequences or sequence sections can impede phylogenetic analyses or the identification of gene homologies. Additionally, randomly similar sequences or ambiguously aligned sequence sections can negatively interfere with the estimation of substitution model parameters. Phylogenomic... View More