A computer aided system for systematic production and revision of sequence patterns
| Autor: | Jean Sallantin, H. Ripoche |
|---|---|
| Rok vydání: | 1996 |
| Předmět: |
Sequence
Multiple sequence alignment Interpretation (logic) Sequence Homology Amino Acid business.industry Computer science General Medicine Query language computer.software_genre Biochemistry Pattern Recognition Automated Set (abstract data type) Pattern recognition (psychology) Computer-aided Production (computer science) Amino Acid Sequence Artificial intelligence business Sequence Alignment Sequence Analysis computer Algorithms Phylogeny Software Natural language processing |
| Zdroj: | Biochimie. 78:370-375 |
| ISSN: | 0300-9084 |
| DOI: | 10.1016/0300-9084(96)84769-9 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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