Mapping the genotype-phenotype relationship in complex disease.
| Contribuinte(s) |
Wouters, Merridee Crowley Tamsyn |
|---|---|
| Data(s) |
01/04/2016
|
| Resumo |
Computational methods to identify harmful variations in humans perform well for rare diseases such as Huntington's but not for common diseases like hypertension or diabetes. A modelling approach that takes protein context into account was illustrated to identify harmful variants involved in complex diseases. |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
Deakin University, Faculty of Health, School of Medicine |
| Relação |
http://dro.deakin.edu.au/eserv/DU:30089160/Mohanasundaram-agreement-2016.pdf http://dro.deakin.edu.au/eserv/DU:30089160/Mohanasundaram-mappingthe-2016A.pdf |
| Direitos |
The Author. All Rights Reserved |
| Palavras-Chave | #Bioinformatics #Genetics #Diseases #Mendelian disease |
| Tipo |
Thesis |
