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Optimal alignments in linear space
Bioinformatics, 1988Space, not time, is often the limiting factor when computing optimal sequence alignments, and a number of recent papers in the biology literature have proposed space-saving strategies. However, a 1975 computer science paper by Hirschberg presented a method that is superior to the new proposals, both in theory and in practice.
Eugene W. Myers, Webb Miller
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Pharao: Pharmacophore alignment and optimization
Journal of Molecular Graphics and Modelling, 2008Within the context of early drug discovery, a new pharmacophore-based tool to score and align small molecules (Pharao) is described. The tool is built on the idea to model pharmacophoric features by Gaussian 3D volumes instead of the more common point or sphere representations.
Jonatan, Taminau +2 more
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Optimal Patterns for Alignment
Applied Optics, 1974Patterns with optimal autocorrelation functions are sometimes optimal for optical alignment. When the finest gratings that can be resolved exceed those that actually can be used, errors of alignment can be reduced by nearly a factor of 2 by incorporating segments of a grating into the patterns. Under some conditions, resolution of the inspecting device
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Bioinformatics, 1991
Algorithms often align sequences by minimizing a cost. Such algorithms usually operate by aligning successively longer subsequences until they finish the alignment. Efficient algorithms, such as those of Fickett and Ukkonen, speed the computation by ignoring bad subalignments.
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Algorithms often align sequences by minimizing a cost. Such algorithms usually operate by aligning successively longer subsequences until they finish the alignment. Efficient algorithms, such as those of Fickett and Ukkonen, speed the computation by ignoring bad subalignments.
openaire +2 more sources