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Protein secondary structure prediction for a single-sequence using hidden semi-Markov models

BACKGROUND: The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algorithms: Single-sequence prediction algorithms imply that information about other (homologous) proteins is not available, w...

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Bibliografische gegevens
Hoofdauteurs: Aydin, Zafer, Altunbasak, Yucel, Borodovsky, Mark
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BioMed Central 2006
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC1479840/
https://ncbi.nlm.nih.gov/pubmed/16571137
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-178
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