A computer aided system for systematic production and revision of sequence patterns.
We used two complementary fields, object-oriented databases and machine learning, to produce and revise a set of protein sequence patterns. In a first stage, we show that object-oriented query languages are well suited for the production of patterns as well as for the interpretation of the biological function of new (uncharacterized) sequences. In a second stage, a classification is built from the set of sequences according to the pattern matches. This classification may be criticized by a specific analysis method, which yields back to revise sequences and patterns. In our application, we have used concept lattices as a classification method and sequence multiple alignment for criticism.
LIRMM, UMR 9928 CNRS, Montpellier, France.
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Ripoche
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Sallantin
D000465:Algorithms; D000595:Amino Acid Sequence; D010363:Pattern Recognition, Automated; D010802:Phylogeny; D016415:Sequence Alignment; D017421:Sequence Analysis / Q000379:methods*; D017386:Sequence Homology, Amino Acid; D012984:Software