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Generating consensus sequences from partial order multiple sequence alignment graphs
2003
Bioinformatics
Motivation: Consensus sequence generation is important in many kinds of sequence analysis ranging from sequence assembly to profile-based iterative search methods. However, how can a consensus be constructed when its inherent assumption-that the aligned sequences form a single linear consensus-is not true? Results: Partial Order Alignment (POA) enables construction and analysis of multiple sequence alignments as directed acyclic graphs containing complex branching structure. Here we present a
doi:10.1093/bioinformatics/btg109
pmid:12761063
fatcat:vme7737mtfbnpgkifyclxc6twa