Automatic detection of anchor points for multiple sequence alignment |
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| Authors: | Florian Pitschi Claudine Devauchelle Eduardo Corel |
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| Affiliation: | 1.Partner Institute for Computational Biology, CAS-MPG,Shanghai,China;2.Laboratoire Statistique et Génome (LSG), CNRS UMR 8071, INRA 1152,Université d'Evry,Evry Cedex,France;3.Georg-August-Universit?t, Institut für Mikrobiologie und Genetik,G?ttingen,Germany |
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| Abstract: | Background Determining beforehand specific positions to align (anchor points) has proved valuable for the accuracy of automated multiple sequence alignment (MSA) software. This feature can be used manually to include biological expertise, or automatically, usually by pairwise similarity searches. Multiple local similarities are be expected to be more adequate, as more biologically relevant. However, even good multiple local similarities can prove incompatible with the ordering of an alignment. |
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