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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Detalles Bibliográficos
Autores principales: Butterfield, Andrew, Vedagiri, Vivek, Lang, Edward, Lawrence, Cath, Wakefield, Matthew J, Isaev, Alexander, Huttley, Gavin A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC317364/
https://www.ncbi.nlm.nih.gov/pubmed/14706121
http://dx.doi.org/10.1186/1471-2105-5-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC317364/
https://www.ncbi.nlm.nih.gov/pubmed/14706121
http://dx.doi.org/10.1186/1471-2105-5-1

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