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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...
Autores principales: | Butterfield, Andrew, Vedagiri, Vivek, Lang, Edward, Lawrence, Cath, Wakefield, Matthew J, Isaev, Alexander, Huttley, Gavin A |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2004
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Materias: | |
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 |
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