Predicting cancer-associated germline variations in proteins

BACKGROUND: Various computational methods are presently available to classify whether a protein variation is disease-associated or not. However data derived from recent technological advancements make it feasible to extend the annotation of disease-associated variations in order to include specific...

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Detalles Bibliográficos
Autores principales: Martelli, Pier Luigi, Fariselli, Piero, Balzani, Eva, Casadio, Rita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3372458/
https://www.ncbi.nlm.nih.gov/pubmed/22759656
http://dx.doi.org/10.1186/1471-2164-13-S4-S8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3372458/
https://www.ncbi.nlm.nih.gov/pubmed/22759656
http://dx.doi.org/10.1186/1471-2164-13-S4-S8

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