Computational tools for prioritizing candidate genes: boosting disease gene discovery
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics (clinical),Genetics,Molecular Biology
Link
http://www.nature.com/articles/nrg3253.pdf
Reference129 articles.
1. Aerts, S. et al. Gene prioritization through genomic data fusion. Nature Biotech. 24, 537–544 (2006). This is the original description of the prioritization tool Endeavour, which uses a similarity profiling strategy.
2. Franke, L. et al. Reconstruction of a functional human gene network, with an application for prioritizing positional candidate genes. Am. J. Hum. Genet. 78, 1011–1025 (2006). This is the original description of the prioritization tool Prioritizer, which relies on a human functional network.
3. Perez-Iratxeta, C., Bork, P. & Andrade, M. A. Association of genes to genetically inherited diseases using data mining. Nature Genet. 31, 316–319 (2002).
4. Thiel, C. T. et al. Severely incapacitating mutations in patients with extreme short stature identify RNA-processing endoribonuclease RMRP as an essential cell growth regulator. Am. J. Hum. Genet. 77, 795–806 (2005).
5. van Driel, M. A., Cuelenaere, K., Kemmeren, P. P.C. W., Leunissen, J. A. M. & Brunner, H. G. A new web-based data mining tool for the identification of candidate genes for human genetic disorders. Eur. J. Hum. Genet. 11, 57–63 (2003).
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