Benchmarking of variant pathogenicity prediction methods using a population genetics approach

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf227
Citations
1
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
Field-Weighted Citation Impact
0.23

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article

Benchmarking of variant pathogenicity prediction methods using a population genetics approach

David S. Winlaw, Eleni Giannoulatou, Sally L. Dunwoodie, Gillian M. Blue et al.
1 citations
Bioinformatics Advances
Genetics, Bioinformatics, and Biomedical Research
0.23
article

Benchmarking of variant pathogenicity prediction methods using a population genetics approach

David S. Winlaw, Eleni Giannoulatou, Sally L. Dunwoodie, Gillian M. Blue, Edwin Philip Kirk, L Thibaut, Gary F. Sholler, Mikhail Gudkov, Steven Monger, Natasha Nassar, Gavin Chapman, Samantha J. Lain, Debjani Das
article en
1 citations

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
Northwestern University (US), The University of Queensland (AU), Victor Chang Cardiac Research Institute (AU), UNSW Sydney (AU), St Vincent's Health (AU), St Vincent's Clinic (AU), Lurie Children's Hospital (US)
Victor Chang Cardiac Research Institute, Office of Health and Medical Research, New South Wales Government, Medical Research Council, National Health and Medical Research Council
Openalex Percentile: Top 39%
Genetics, Bioinformatics, and Biomedical Research
0.23
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Benchmarking of variant pathogenicity prediction methods using a population genetics approach — David S. Winlaw, Eleni Giannoulatou, et al. · Bioinformatics Advances (2024) | TGRS Research Map | TGRS