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Mind the gaps: evidence of bias in estimates of multiple sequence alignments

Golubchik, Tanya; Wise, Michael J; Easteal, Simon; Jermiin, Lars Sommer


Multiple sequence alignment (MSA) is a crucial first step in the analysis of genomic and proteomic data. Commonly occurring sequence features, such as deletions and insertions, are known to affect the accuracy of MSA programs, but the extent to which alignment accuracy is affected by the positions of insertions and deletions has not been examined independently of other sources of sequence variation. We assessed the performance of 6 popular MSA programs (ClustalW, DIALIGN-T, MAFFT, MUSCLE,...[Show more]

CollectionsANU Research Publications
Date published: 2007
Type: Journal article
Source: Molecular Biology and Evolution
DOI: 10.1093/molbev/msm176


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