Model-based clustering with certainty estimation: implication for clade assignment of influenza viruses
Journal: BMC Bioinformatics
Year: 2016

Abstract Background Clustering is a common technique used by molecular biologists to group homologous sequences and study evolution. There remain issues such as how to cluster molecular sequences accurately and in particular how to evaluate the certainty of clustering results. Results We presented a model-based clustering method to analyze molecular sequences, described a subset bootstrap scheme to evaluate a certainty of the clusters, and showed an intuitive way using 3D visualization to examin