Joint Genotyping
Joint Genotyping is a computational method in genomic variant calling that simultaneously analyzes multiple samples to infer genotypes, distinguishing itself by leveraging shared allelic information across individuals to improve variant detection accuracy and consistency.
21
Publications
1.2K
Citations
211
Authors
111
Institutions
Publications per year
2017–2026
9
Parents
21
Best Practices and Joint Calling of the HumanExome BeadChip: The CHARGE Consortium
Megan L. Grove, Bing Yu, Barbara Cochran et al. · PLoS ONE · 2013 · 238 citations · Full text
Accelerating Medicines Partnership: Parkinson's Disease. Genetic Resource
Hirotaka Iwaki, Hampton L. Leonard, Mary B. Makarious et al. · Movement Disorders · 2021 · 131 citations · Full text
1–5 of 21
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111
Harvard University
Cambridge, United States
3 h-index
4 publications
520 citations
University of Iceland
Reykjavik, Iceland
2 h-index
9 publications
1.2K citations
National Institute on Aging
Baltimore, United States
2 h-index
12 publications
1.8K citations

University of Minnesota
Minneapolis, United States
2 h-index
3 publications
110 citations
Agriculture and Agri-Food Canada
Ottawa, Canada
2 h-index
5 publications
595 citations

Johns Hopkins University
Baltimore, United States
2 h-index
3 publications
207 citations

deCODE Genetics (Iceland)
Reykjavik, Iceland
2 h-index
28 publications
2.5K citations
University of Southern California
Los Angeles, United States
2 h-index
7 publications
344 citations
1–8 of 111
2 publications · 48 citations
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1 publications · 38 citations
1
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1 publications · 48 citations
1
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Book series · 1 publications · 32 citations
1
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JASB · 1 publications · 177 citations
1
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1–5