title: Critical comparison of consensus methods for molecular sequences.
abstract: Consensus methods are recognized as valuable tools for data analysis, especially when some sort of data aggregation is desired. Although consensus methods for sequences play a vital role in molecular biology, researchers pay little heed to the features and limitations of such methods, and so there are risks that criteria for constructing consensus sequences will be misused or misunderstood. To understand better the issues involved, we conducted a critical comparison of nine consensus methods for sequences, of which eight were used in papers appearing in this journal. We report the results of that comparison, and we make recommendations which we hope will assist researchers when they must select particular consensus methods for particular applications.
authors.affiliation: Department of Computer Science, Memorial University of Newfoundland, St John's, Canada.
authors.forename: W H
authors.initials: WH
authors.lastname: Day
authors.forename: F R
authors.initials: FR
authors.lastname: McMorris
mesh_terms: D000465:Algorithms; D001483:Base Sequence / Q000235:genetics; D016384:Consensus Sequence / Q000235:genetics*; D003627:Data Interpretation, Statistical; D005069:Evaluation Studies as Topic