- Title
- SNPselector : a web tool for selecting SNPs for genetic association studies
- Creators
- HONG HONG XU - The Duke Center for Human Genetics, Duke University Medical Center, Durham, NC 27710, United StatesSimon G GREGORY - The Duke Center for Human Genetics, Duke University Medical Center, Durham, NC 27710, United StatesElizabeth R HAUSER - The Duke Center for Human Genetics, Duke University Medical Center, Durham, NC 27710, United StatesJudith E STENGER - The Duke Center for Human Genetics, Duke University Medical Center, Durham, NC 27710, United StatesMargaret A PERICAK-VANCE - The Duke Center for Human Genetics, Duke University Medical Center, Durham, NC 27710, United StatesJeffery M VANCE - The Duke Center for Human Genetics, Duke University Medical Center, Durham, NC 27710, United StatesStephan ZÜCHNER - The Duke Center for Human Genetics, Duke University Medical Center, Durham, NC 27710, United StatesMichael A HAUSER - The Duke Center for Human Genetics, Duke University Medical Center, Durham, NC 27710, United States
- Publication Details
- Bioinformatics (Oxford, England), Vol.21(22), pp.4181-4186
- Publisher
- Oxford University Press; Oxford
- Academic Unit
- Leadership Department; Miller School of Medicine; John P. Hussman Institute for Human Genomics; UMMG Dept of Human Genetics (Dr. John T. Macdonald Foundation)
- Language
- English
- Resource Type
- Journal article
- PMID
- 16179360
- PMCID
- PMC1361283
- Record Identifier
- 991031558998702976
Journal article
SNPselector : a web tool for selecting SNPs for genetic association studies
Bioinformatics (Oxford, England), Vol.21(22), pp.4181-4186
2005
PMCID: PMC1361283
PMID: 16179360
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InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Citation topics
- 1 Clinical & Life Sciences
- 1.189 Genome Studies
- 1.189.455 Genome-Wide Association Studies
- Web Of Science research areas
- Biochemical Research Methods
- Biotechnology & Applied Microbiology
- Computer Science, Interdisciplinary Applications
- Mathematical & Computational Biology
- Statistics & Probability
- ESI research areas
- Biology & Biochemistry
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Source: InCites