title: Comparative assessment of methods for aligning multiple genome sequences.
abstract: Multiple sequence alignment is a difficult computational problem. There have been compelling pleas for methods to assess whole-genome multiple sequence alignments and compare the alignments produced by different tools. We assess the four ENCODE alignments, each of which aligns 28 vertebrates on 554 Mbp of total input sequence. We measure the level of agreement among the alignments and compare their coverage and accuracy. We find a disturbing lack of agreement among the alignments not only in species distant from human, but even in mouse, a well-studied model organism. Overall, the assessment shows that Pecan produces the most accurate or nearly most accurate alignment in all species and genomic location categories, while still providing coverage comparable to or better than that of the other alignments in the placental mammals. Our assessment reveals that constructing accurate whole-genome multiple sequence alignments remains a significant challenge, particularly for noncoding regions and distantly related species.
authors.affiliation: Department of Computer Science and Engineering, University of Washington, Seattle, Washington, USA.
authors.forename: Xiaoyu
authors.initials: X
authors.lastname: Chen
authors.forename: Martin
authors.initials: M
authors.lastname: Tompa
mesh_terms: D000818:Animals; D001483:Base Sequence; D016678:Genome / Q000235:genetics*; D006801:Humans; D016415:Sequence Alignment / Q000379:methods*; D012984:Software