Work

Improving transparency of computational tools for variant effect prediction

Year: 2024

Type: article

Source: Nature Genetics

DOI: 10.1038/s41588-024-01821-8

Authors: Rachel Karchin, Predrag Radivojac, Anne O’Donnell-Luria, Marc S. Greenblatt, Michael Y. Tolstorukov, Dmitriy Sonkin

Institutions: Johns Hopkins University, Northeastern University, Broad Institute, Boston Children's Hospital, Massachusetts General Hospital, University of Vermont, Dana-Farber Cancer Institute, National Institutes of Health, National Cancer Institute

Language: English

Topic: Genomics and Rare Diseases

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Institutes of Health

Award: G6374948078

OpenAlex ID: W4400248481

FWCI: 2.409

Cites: 14

Cited by: 10

Related to: 10