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PMID:15034147

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Citation

Edgar, RC (2004) MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 32:1792-7

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.

Links

PubMed PMC390337 Online version:10.1093/nar/gkh340

Keywords

Algorithms; Amino Acid Motifs; Amino Acid Sequence; Internet; Molecular Sequence Data; Reproducibility of Results; Sequence Alignment/methods; Sequence Analysis, Protein/methods; Software; Time Factors

Significance

Annotations

Gene product Qualifier GO Term Evidence Code with/from Aspect Extension Notes Status

9BRAD:D0V0Y0

GO:0016491: oxidoreductase activity

ECO:0000255:

PMID:15034147[1]


F

Figure 4. Phylogenetic tree comparing predicted nifH amino acid sequences among mutant phenotypes.

complete
CACAO 2806

9BRAD:D0V0Y0

enables

GO:0016491: oxidoreductase activity

ECO:0000255: match to sequence model evidence used in manual assertion

F

Seeded From UniProt

Missing: with/from


See also

References

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  1. Edgar, RC (2004) MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 32 1792-7 PubMed GONUTS page