Computational Molecular Biology: Software Matchmakers Help Make Sense of Sequences

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Science  02 Aug 1996:
Vol. 273, Issue 5275, pp. 588-590
DOI: 10.1126/science.273.5275.588

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Genome projects are spinning out new sequence at a mind-boggling rate, leaving computational biologists with the challenge of quickly identifying new genes in that sequence and inferring the function of the proteins they code for. The key is to find related genes whose function is already known, and that requires spotting obvious, or less than obvious, similarities in different strings of data. Computational biologists have been churning out algorithms for doing so, using strategies borrowed from machine learning, artificial intelligence, statistics, and speech recognition. Computers/Math