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Description |
Quality-aware alignments
Generally, quality data are ignored for alignment/pattern searching
like Smith-Waterman, Needleman-Wunsch, or BLAST(p|n|x). I believe
that accounting for quality will at the very least affect things like
BLAST statistics, and e.g. is crucial for good EST annotation using Blastx.
This module performs sequences alignments, takes quality values into
account.
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Synopsis |
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Smith-Waterman, or locally optimal alignment with affine gaps
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Calculate local edit distance (Smith-Waterman alignment score)
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Calculate local alignmnet (Smith-Waterman)
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Needleman-Wunsch, or globally optimal alignment with affine gaps
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Calculate global edit distance (Needleman-Wunsch alignment score)
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Calculate global alignment (Needleman-Wunsch)
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Matrix construction
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Produced by Haddock version 2.4.2 |