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TransVar: a multilevel variant annotator for precision genomics.
Zhou, Wanding; Chen, Tenghui; Chong, Zechen; Rohrdanz, Mary A; Melott, James M; Wakefield, Chris; Zeng, Jia; Weinstein, John N; Meric-Bernstam, Funda; Mills, Gordon B; Chen, Ken.
Afiliação
  • Zhou W; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Chen T; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Chong Z; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Rohrdanz MA; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Melott JM; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Wakefield C; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Zeng J; Khalifa Bin Zayed Al Nahyan Institute of Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Weinstein JN; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Meric-Bernstam F; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Mills GB; Khalifa Bin Zayed Al Nahyan Institute of Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Chen K; Department of Investigational Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Nat Methods ; 12(11): 1002-3, 2015 Nov.
Article em En | MEDLINE | ID: mdl-26513549

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Genômica Limite: Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Genômica Limite: Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article