Sara Ballouz
Sara Ballouz
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Identification of novel therapeutics for complex diseases from genome-wide association data
BACKGROUND: Human genome sequencing has enabled the association of phenotypes with genetic loci, but our ability to effectively …
Mani P. Grover
,
Sara Ballouz
,
Kaavya A. Mohanasundaram
,
Richard A. George
,
Craig D. H. Sherman
,
Tamsyn M. Crowley
,
Merridee A. Wouters
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DOI
Gentrepid V2.0: a web server for candidate disease gene prediction
BACKGROUND: Candidate disease gene prediction is a rapidly developing area of bioinformatics research with the potential to deliver …
Sara Ballouz
,
Jason Y. Liu
,
Richard A. George
,
Naresh Bains
,
Arthur Liu
,
Martin Oti
,
Bruno Gaeta
,
Diane Fatkin
,
Merridee A. Wouters
Cite
DOI
Analysis of genome-wide association study data using the protein knowledge base
BACKGROUND: Genome-wide association studies (GWAS) aim to identify causal variants and genes for complex disease by independently …
Sara Ballouz
,
Jason Y. Liu
,
Martin Oti
,
Bruno Gaeta
,
Diane Fatkin
,
Melanie Bahlo
,
Merridee A. Wouters
Cite
DOI
Web tools for the prioritization of candidate disease genes
Despite increasing sequencing capacity, genetic disease investigation still frequently results in the identification of loci containing …
Martin Oti
,
Sara Ballouz
,
Merridee A. Wouters
Cite
DOI
Comparison of automated candidate gene prediction systems using genes implicated in type 2 diabetes by genome-wide association studies
BACKGROUND: Automated candidate gene prediction systems allow geneticists to hone in on disease genes more rapidly by identifying the …
Erdahl T. Teber
,
Jason Y. Liu
,
Sara Ballouz
,
Diane Fatkin
,
Merridee A. Wouters
Cite
DOI
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