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Simon G. Gregory

dblp:58/3524 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
0000-0002-7805-1743ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › statistical genetics
genetic association study
0.112005
SNPselector: a web tool for selecting SNPs for genetic association studies · Bioinform. 2005
Bioinformatics and computational biology › statistical genetics › variant effect prediction
SNP prioritization
0.112005
SNPselector: a web tool for selecting SNPs for genetic association studies · Bioinform. 2005
Bioinformatics and computational biology › statistical genetics › single nucleotide polymorphism analysis
SNP selection
0.112005
SNPselector: a web tool for selecting SNPs for genetic association studies · Bioinform. 2005

Methods — techniques the papers use, named apart from their topics

linkage disequilibrium analysis · 0.1allele frequency filtering · 0.1
YearPublicationVenuePosition
2005 SNPselector: a web tool for selecting SNPs for genetic association studies
abstract
SUMMARY: Single nucleotide polymorphisms (SNPs) are commonly used for association studies to find genes responsible for complex genetic diseases. With the recent advance of SNP technology, researchers are able to assay thousands of SNPs in a single experiment. But the process of manually choosing thousands of genotyping SNPs for tens or hundreds of genes is time consuming. We have developed a web-based program, SNPselector, to automate the process. SNPselector takes a list of gene names or a list of genomic regions as input and searches the Ensembl genes or genomic regions for available SNPs. It prioritizes these SNPs on their tagging for linkage disequilibrium, SNP allele frequencies and source, function, regulatory potential and repeat status. SNPselector outputs result in compressed Excel spreadsheet files for review by the user. AVAILABILITY: SNPselector is freely available at http://primer.duhs.duke.edu/
Hong Xu 0002, Simon G. Gregory, Elizabeth R. Hauser, Judith E. Stenger, Margaret A. Pericak-Vance, Jeffery M. Vance, Stephan Züchner, Michael A. Hauser
Bioinform.2