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- W2024369500 abstract "Of the many problems in biological data retrieval, the problem of biological sequence retrieval has the highest profile. The standard solution to this problem, BLAST, has ascended, like google , to become synonymous with search. Also like Google, BLAST leverages statistical properties as heuristics to create a good user experience. Ironically, many early biological sequence similarity efforts explicitly sought to model evolutionary distance as a metric-distance. Recent interest in metric-index methods has rekindled these early directions. A review of these efforts provides an opportunity to characterize the challenges and opportunities in similarity search of biological data." @default.
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- W2024369500 date "2010-07-01" @default.
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- W2024369500 title "Metric-space search in bioinformatics" @default.
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- W2024369500 doi "https://doi.org/10.1145/1862413.1862422" @default.
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