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• W1985758502 abstract "We describe DELPHI, a new computational tool for identifying sequence similarity between a query sequence and a database of proteins. Use is made of a set of patterns obtained from the underlying database through a one-time computation. The patterns are subsequently matched against every query sequence presented to the system. A pattern matched by a region of the query pinpoints a potential local similarity between that region and all of the database sequences also matching that pattern. In a final step, all such local similarities are examined more closely by aligning and scoring the corresponding query and database regions. By prudently choosing a set of patterns, the method can be used to discover weak but biologically important similarities. We provide a number of examples using both classified and unclassified proteins that corroborate this claim." @default.
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• W1985758502 date "2001-05-01" @default.
• W1985758502 modified "2023-09-23" @default.
• W1985758502 title "DELPHI: A pattern-based method for detecting sequence similarity" @default.
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• W1985758502 doi "https://doi.org/10.1147/rd.453.0455" @default.
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