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eVIP2: Expression-based variant impact phenotyping to predict the function of gene variants.
Thornton, Alexis M; Fang, Lishan; Lo, April; McSharry, Maria; Haan, David; O'Brien, Casey; Berger, Alice H; Giannakis, Marios; Brooks, Angela N.
Afiliação
  • Thornton AM; Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, United States of America.
  • Fang L; UCSC Genomics Institute, University of California Santa Cruz, Santa Cruz, California, United States of America.
  • Lo A; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, United States of America.
  • McSharry M; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, United States of America.
  • Haan D; Department of Orthopedics, The Eight Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
  • O'Brien C; Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
  • Berger AH; Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
  • Giannakis M; Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, United States of America.
  • Brooks AN; UCSC Genomics Institute, University of California Santa Cruz, Santa Cruz, California, United States of America.
PLoS Comput Biol ; 17(7): e1009132, 2021 07.
Article em En | MEDLINE | ID: mdl-34214079
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variação Genética / Genômica / Transcriptoma Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variação Genética / Genômica / Transcriptoma Idioma: En Ano de publicação: 2021 Tipo de documento: Article