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PyEvolve: a toolkit for statistical modelling of molecular evolution

BACKGROUND: Examining the distribution of variation has proven an extremely profitable technique in the effort to identify sequences of biological significance. Most approaches in the field, however, evaluate only the conserved portions of sequences – ignoring the biological significance of sequence...

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Detalhes bibliográficos
Main Authors: Butterfield, Andrew, Vedagiri, Vivek, Lang, Edward, Lawrence, Cath, Wakefield, Matthew J, Isaev, Alexander, Huttley, Gavin A
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2004
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC317364/
https://ncbi.nlm.nih.gov/pubmed/14706121
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-5-1
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