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• W1719603274 abstract "This chapter discusses two concepts––sequence masking and distributed processing––that are key to the local implementation of effective and flexible large-scale sequence comparison. It simply consists of delineating the various types of repeats and other a priori troublesome segments by ad hoc programs and then replacing the corresponding positions with a special character neutral to the specific scoring scheme. The chapter presents spectacular statistical effects that masking for the most frequent repeats can have on the distribution of the number of hits for a given minimal score. Using this distributed architecture, the most efficient parallelization is reached without any modification of the code of the similarity search program. A simple shell script can be used to dispatch the current query from a master machine to each participating processor, to locally start the search against the partial database, and to write back the output on the master machine." @default.
• W1719603274 created "2016-06-24" @default.
• W1719603274 creator A5066530892 @default.
• W1719603274 date "1996-01-01" @default.
• W1719603274 modified "2023-09-24" @default.
• W1719603274 title "[14] Effective large-scale sequence similarity searches" @default.
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• W1719603274 doi "https://doi.org/10.1016/s0076-6879(96)66016-9" @default.
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• W1719603274 hasPublicationYear "1996" @default.
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