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POCUS: mining genomic sequence annotation to predict disease genes.
Turner FS, Clutterbuck DR, Semple CA
Genome Biol
2003,
4
:R75
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BioMed Central articles that cite the above article:
1.
Method
Genome-wide prioritization of disease genes and identification of disease-disease associations from an integrated human functional linkage network
Linghu B, Snitkin ES, Hu Z, Xia Y, DeLisi C
Genome Biology
2009,
10
:R91
(3 September 2009)
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Linking genes to diseases: it's all in the data
Tiffin N, Andrade-Navarro MA, Perez-Iratxeta C
Genome Med
2009,
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(7 August 2009)
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In silico prioritisation of candidate genes for prokaryotic gene function discovery: an application of phylogenetic profiles
Lin FPY, Coiera E, Lan R, Sintchenko V
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2009,
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(17 March 2009)
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Disease candidate gene identification and prioritization using protein interaction networks
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2009,
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(27 February 2009)
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(Suppl 2):S13
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Teber ET, Liu JY, Ballouz S, Fatkin D, Wouters MA
BMC Bioinformatics
2009,
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(Suppl 1):S69
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Prioritizing genes of potential relevance to diseases affected by sex hormones: an example of Myasthenia Gravis
Kaur M, Schmeier S, MacPherson CR, Hofmann O, Hide WA, Taylor S, Willcox N, Bajic VB
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Computational selection and prioritization of candidate genes for Fetal Alcohol Syndrome
Lombard Z, Tiffin N, Hofmann O, Bajic VB, Hide W, Ramsay M
BMC Genomics
2007,
8
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(25 October 2007)
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Improved human disease candidate gene prioritization using mouse phenotype
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2007,
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Prioritisation of Disease Gene Candidates: A Systems Biology Approach
Turner FS
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2005,
6
(Suppl 3):S14
(21 September 2005)
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G2D: a tool for mining genes associated with disease
Perez-Iratxeta C, Wjst M, Bork P, Andrade MA
BMC Genetics
2005,
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Andersson L, Petersen G, Johnson P, Ståhl F
Arthritis Research & Therapy
2005,
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This article is also cited by a further
14 articles
in PubMed Central
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