{MUSCLE: multiple sequence alignment with high accuracy and high throughput.}

Publication Type:Journal Article
Year of Publication:2004
Authors:R. C. Edgar
Journal:Nucleic acids research
Volume:32
Pagination:1792–7
ISSN:1362-4962
Keywords:Algorithms, Amino Acid Motifs, Amino Acid Sequence, Internet, Molecular Sequence Data, Protein, Protein: methods, Reproducibility of Results, Sequence Alignment, Sequence Alignment: methods, Sequence Analysis, Software, Time Factors
Abstract:

We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.

URL:http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=390337&tool=pmcentrez&rendertype=abstract
DOI:10.1093/nar/gkh340
Scratchpads developed and conceived by (alphabetical): Ed Baker, Katherine Bouton Alice Heaton Dimitris Koureas, Laurence Livermore, Dave Roberts, Simon Rycroft, Ben Scott, Vince Smith