Source:http://linkedlifedata.com/resource/pubmed/id/15617167
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
4
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pubmed:dateCreated |
2004-12-23
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pubmed:abstractText |
We review recent results on local alignment. We begin with a review of classical methods and early heuristic methods, and then focus on more recent work on the seeding of local alignment. We show that these techniques give a vast improvement in both sensitivity and specificity over previous methods, and can achieve sensitivity at the level of classical algorithms while requiring orders of magnitude less runtime.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Dec
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pubmed:issn |
0219-7200
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
2
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
819-42
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pubmed:dateRevised |
2006-11-15
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pubmed:meshHeading |
pubmed-meshheading:15617167-Algorithms,
pubmed-meshheading:15617167-Computer Simulation,
pubmed-meshheading:15617167-Databases, Genetic,
pubmed-meshheading:15617167-Models, Genetic,
pubmed-meshheading:15617167-Models, Statistical,
pubmed-meshheading:15617167-Pattern Recognition, Automated,
pubmed-meshheading:15617167-Reproducibility of Results,
pubmed-meshheading:15617167-Sensitivity and Specificity,
pubmed-meshheading:15617167-Sequence Alignment,
pubmed-meshheading:15617167-Sequence Analysis,
pubmed-meshheading:15617167-Sequence Homology
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pubmed:year |
2004
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pubmed:articleTitle |
A tutorial of recent developments in the seeding of local alignment.
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pubmed:affiliation |
Department of Computer Science, University of Waterloo, Waterloo, ON, Canada, N2L 3G1, Canada. browndg@math.waterloo.ca
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pubmed:publicationType |
Journal Article,
Comparative Study,
Review,
Research Support, Non-U.S. Gov't,
Evaluation Studies
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