Classification/Identification on Biological Databases
نویسندگان
چکیده
Heuristic algorithms for mining large databases are being adapted to enable discriminatory analysis to be performed on biological data, accelerating the progress in understanding biological diversity and its industrial implications. A range of knowledge discovery algorithms are being applied to yeast characteristics data, providing new research leads and decision making tools. The research presented here is part of a project funded by the BBSRC 1 which involves the curation and data mining analysis of yeast species and strain data, including DNA data for 700+ yeast species. There is special industrial interest in the investigation of yeast species capable of causing food spoilage, including emerging spoilage food agents.
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