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• W33235939 abstract "With phylogenetics becoming increasingly important in biomedical research, the number of phylogenetic studies is increasing rapidly and huge mount of phylogenetic data has been generated and stored in databases. How to efficiently extract information from the data has become an important research problem. In this paper, we focus on a class of important queries on phylogenetic trees: structure queries which include least common ancestor, minimal spanning clade, tree pattern match and tree projection. After analyzing the characteristics of the phylogenetic tree as well as structure queries, we propose a storage system based on labeling using RDBMS and design algorithms for query evaluation. We implement these algorithms and compare them with existing techniques. Performance studies prove the efficiency of our strategy." @default.
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• W33235939 date "2005-06-27" @default.
• W33235939 modified "2023-09-28" @default.
• W33235939 title "Efficiently supporting structure queries on phylogenetic trees" @default.
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