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Stargazer: a software tool for calling star alleles from next-generation sequencing data using CYP2D6 as a model.
Lee, Seung-Been; Wheeler, Marsha M; Patterson, Karynne; McGee, Sean; Dalton, Rachel; Woodahl, Erica L; Gaedigk, Andrea; Thummel, Kenneth E; Nickerson, Deborah A.
Affiliation
  • Lee SB; Department of Genome Sciences, School of Medicine, University of Washington, Seattle, Washington, USA.
  • Wheeler MM; Department of Genome Sciences, School of Medicine, University of Washington, Seattle, Washington, USA.
  • Patterson K; Department of Genome Sciences, School of Medicine, University of Washington, Seattle, Washington, USA.
  • McGee S; Department of Genome Sciences, School of Medicine, University of Washington, Seattle, Washington, USA.
  • Dalton R; Department of Biomedical and Pharmaceutical Sciences, University of Montana, Missoula, Montana, USA.
  • Woodahl EL; Department of Biomedical and Pharmaceutical Sciences, University of Montana, Missoula, Montana, USA.
  • Gaedigk A; Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri, USA.
  • Thummel KE; Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, Washington, USA.
  • Nickerson DA; Department of Genome Sciences, School of Medicine, University of Washington, Seattle, Washington, USA. debnick@uw.edu.
Genet Med ; 21(2): 361-372, 2019 02.
Article in En | MEDLINE | ID: mdl-29875422

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Cytochrome P-450 CYP2D6 / Alleles / High-Throughput Nucleotide Sequencing / Genotyping Techniques Type of study: Evaluation_studies Limits: Child / Female / Humans / Male Language: En Journal: Genet Med Journal subject: GENETICA MEDICA Year: 2019 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Cytochrome P-450 CYP2D6 / Alleles / High-Throughput Nucleotide Sequencing / Genotyping Techniques Type of study: Evaluation_studies Limits: Child / Female / Humans / Male Language: En Journal: Genet Med Journal subject: GENETICA MEDICA Year: 2019 Type: Article Affiliation country: United States