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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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| Pubblicato in: | BMC Bioinformatics |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BMC
2005
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC545998/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/15638949/ https://ncbi.nlm.nih.govhttps://doi.org/10.1186/1471-2105-6-4 |
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