SIBIS (Bayesian Inconsistency in Sequences) is designed to detect such inconsistencies based on the evolutionary information in multiple sequence alignments. A Bayesian framework, combined with Dirichlet mixture models, is used to estimate the probability of observing specific amino acids and to detect inconsistent or erroneous sequence segments.
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Bioinformatics. 2014 May 13. pii: btu329. [Epub ahead of print]
SIBIS: A Bayesian model for inconsistent protein sequence estimation.
Khenoussi W1, Vanhoutrève R1, Poch O1, Thompson JD2.