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EvDTree: structure-dependent substitution profiles based on decision tree classification of 3D environments
BACKGROUND: Structure-dependent substitution matrices increase the accuracy of sequence alignments when the 3D structure of one sequence is known, and are successful e.g. in fold recognition. We propose a new automated method, EvDTree, based on a decision tree algorithm, for automatic derivation of...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2005
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC545998/ https://ncbi.nlm.nih.gov/pubmed/15638949 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-6-4 |
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