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- Title
Computational tools for prioritizing candidate genes: boosting disease gene discovery.
- Authors
Moreau, Yves; Tranchevent, Léon-Charles
- Abstract
At different stages of any research project, molecular biologists need to choose - often somewhat arbitrarily, even after careful statistical data analysis - which genes or proteins to investigate further experimentally and which to leave out because of limited resources. Computational methods that integrate complex, heterogeneous data sets - such as expression data, sequence information, functional annotation and the biomedical literature - allow prioritizing genes for future study in a more informed way. Such methods can substantially increase the yield of downstream studies and are becoming invaluable to researchers.
- Publication
Nature reviews. Genetics, 2012, Vol 13, Issue 8, p523
- ISSN
1471-0064
- Publication type
Journal Article
- DOI
10.1038/nrg3253