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Review
. 2007 Aug;3(8):e123.
doi: 10.1371/journal.pcbi.0030123.

Recent evolutions of multiple sequence alignment algorithms

Cédric Notredame  1
Affiliations
Review

Recent evolutions of multiple sequence alignment algorithms

Cédric Notredame. PLoS Comput Biol. 2007 Aug.
No abstract available

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Conflict of interest statement

Competing interests. The author has declared that no competing interests exist.

Figures

Figure 1
Figure 1. Typical Output of M-Coffee
This output was obtained on the kinase1_ref5 BaliBase dataset, by combining MUSCLE, MAFFT, POA, Dialign-T, T-Coffee, ClustalW, PCMA, and ProbCons with M-Coffee. Correctly aligned residues (as judged from the reference) are uppercase; noncorrect ones are lowercase. The color of each residue indicates the agreement of the individual MSAs with respect to the alignment of that specific residue. Red indicates residues aligned in a similar fashion among all the individual MSAs; blue indicates very low agreement between MSAs. Dark yellow, orange, and red residues can be considered to be reliably aligned.
Figure 2
Figure 2. Framework of a Template-Based Method
Structural templates are first identified, mapped onto the sequences, and aligned using SAP. The sequence–template mapping is then used to guide the alignment of the original sequences. This alignment is integrated into the library that is used to compute the final MSA.
See this image and copyright information in PMC

References

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