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Comprehensive evaluation of fusion transcript detection algorithms and a meta-caller to combine top performing methods in paired-end RNA-seq data.
Liu, Silvia; Tsai, Wei-Hsiang; Ding, Ying; Chen, Rui; Fang, Zhou; Huo, Zhiguang; Kim, SungHwan; Ma, Tianzhou; Chang, Ting-Yu; Priedigkeit, Nolan Michael; Lee, Adrian V; Luo, Jianhua; Wang, Hsei-Wei; Chung, I-Fang; Tseng, George C.
Afiliação
  • Liu S; Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, 130 De Soto Street, Pittsburgh, PA 15261, USA Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Biomedical Science Tower 3, 3501 Fifth Avenue, Pittsburgh, PA 15213, U
  • Tsai WH; Institute of Biomedical Informatics, National Yang-Ming University, No. 155, Sec. 2, Linong Street, Beitou District, Taipei 112, Taiwan.
  • Ding Y; Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, 130 De Soto Street, Pittsburgh, PA 15261, USA Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Biomedical Science Tower 3, 3501 Fifth Avenue, Pittsburgh, PA 15213, U
  • Chen R; Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, 130 De Soto Street, Pittsburgh, PA 15261, USA.
  • Fang Z; Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, 130 De Soto Street, Pittsburgh, PA 15261, USA.
  • Huo Z; Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, 130 De Soto Street, Pittsburgh, PA 15261, USA.
  • Kim S; Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, 130 De Soto Street, Pittsburgh, PA 15261, USA.
  • Ma T; Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, 130 De Soto Street, Pittsburgh, PA 15261, USA.
  • Chang TY; Institute of Microbiology and Immunology, National Yang-Ming University, No. 155, Sec. 2, Linong Street, Beitou District, Taipei 112, Taiwan.
  • Priedigkeit NM; Molecular Pharmacology, School of Medicine, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261, USA.
  • Lee AV; Magee-Women's Research Institute, 204 Craft Avenue, Pittsburgh, PA 15213, USA.
  • Luo J; Department of Pathology, School of Medicine, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261, USA.
  • Wang HW; Institute of Biomedical Informatics, National Yang-Ming University, No. 155, Sec. 2, Linong Street, Beitou District, Taipei 112, Taiwan Institute of Microbiology and Immunology, National Yang-Ming University, No. 155, Sec. 2, Linong Street, Beitou District, Taipei 112, Taiwan Center for Systems and
  • Chung IF; Institute of Biomedical Informatics, National Yang-Ming University, No. 155, Sec. 2, Linong Street, Beitou District, Taipei 112, Taiwan Center for Systems and Synthetic Biology, National Yang-Ming University, No. 155, Sec. 2, Linong Street, Beitou District, Taipei 112, Taiwan ifchung@ym.edu.tw.
  • Tseng GC; Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, 130 De Soto Street, Pittsburgh, PA 15261, USA Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Biomedical Science Tower 3, 3501 Fifth Avenue, Pittsburgh, PA 15213, U
Nucleic Acids Res ; 44(5): e47, 2016 Mar 18.
Article em En | MEDLINE | ID: mdl-26582927

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Software / RNA Mensageiro / Proteínas de Fusão Oncogênica / Proteínas Mutantes Quiméricas / Fusão Gênica Tipo de estudo: Diagnostic_studies / Guideline Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Software / RNA Mensageiro / Proteínas de Fusão Oncogênica / Proteínas Mutantes Quiméricas / Fusão Gênica Tipo de estudo: Diagnostic_studies / Guideline Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2016 Tipo de documento: Article