Understanding genetic variants in context.
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| Title: | Understanding genetic variants in context. |
|---|---|
| Authors: | Sinnott-Armstrong N; Herbold Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, United States.; Department of Genome Sciences, University of Washington, Seattle, United States.; Brotman Baty Institute for Precision Medicine, Seattle, United States., Fields S; Department of Genome Sciences, University of Washington, Seattle, United States.; Department of Medicine, University of Washington, Seattle, United States., Roth F; Donnelly Centre and Departments of Molecular Genetics and Computer Science, University of Toronto, Toronto, Canada.; Lunenfeld-Tanenbaum Research Institute, Mt. Sinai Hospital, Toronto, Canada.; Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, United States., Starita LM; Department of Genome Sciences, University of Washington, Seattle, United States.; Brotman Baty Institute for Precision Medicine, Seattle, United States., Trapnell C; Department of Genome Sciences, University of Washington, Seattle, United States.; Brotman Baty Institute for Precision Medicine, Seattle, United States., Villen J; Department of Genome Sciences, University of Washington, Seattle, United States.; Brotman Baty Institute for Precision Medicine, Seattle, United States., Fowler DM; Department of Genome Sciences, University of Washington, Seattle, United States.; Brotman Baty Institute for Precision Medicine, Seattle, United States.; Department of Bioengineering, University of Washington, Seattle, United States., Queitsch C; Department of Genome Sciences, University of Washington, Seattle, United States.; Brotman Baty Institute for Precision Medicine, Seattle, United States. |
| Source: | ELife [Elife] 2024 Dec 03; Vol. 13. Date of Electronic Publication: 2024 Dec 03. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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