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ReQTL: identifying correlations between expressed SNVs and gene expression using RNA-sequencing data.
Spurr, Liam F; Alomran, Nawaf; Bousounis, Pavlos; Reece-Stremtan, Dacian; Prashant, N M; Liu, Hongyu; Slowinski, Piotr; Li, Muzi; Zhang, Qianqian; Sein, Justin; Asher, Gabriel; Crandall, Keith A; Tsaneva-Atanasova, Krasimira; Horvath, Anelia.
Afiliação
  • Spurr LF; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
  • Alomran N; Cancer Program, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Bousounis P; Biochemistry and Molecular Medicine, McCormick Genomics and Proteomics Center.
  • Reece-Stremtan D; Biochemistry and Molecular Medicine, McCormick Genomics and Proteomics Center.
  • Prashant NM; Biochemistry and Molecular Medicine, McCormick Genomics and Proteomics Center.
  • Liu H; Computer Applications Support Services, School of Medicine and Health Sciences, The George Washington University, Washington, DC 20037, USA.
  • Slowinski P; Biochemistry and Molecular Medicine, McCormick Genomics and Proteomics Center.
  • Li M; Biochemistry and Molecular Medicine, McCormick Genomics and Proteomics Center.
  • Zhang Q; Department of Mathematics & Living Systems Institute, University of Exeter, Exeter EX4 4QD, UK.
  • Sein J; Biochemistry and Molecular Medicine, McCormick Genomics and Proteomics Center.
  • Asher G; Department of Biochemistry and Molecular Medicine.
  • Crandall KA; Department of Biostatistics and Bioinformatics, School of Medicine and Health Sciences, George Washington University, Washington, DC 20037, USA.
  • Tsaneva-Atanasova K; Biochemistry and Molecular Medicine, McCormick Genomics and Proteomics Center.
  • Horvath A; Biochemistry and Molecular Medicine, McCormick Genomics and Proteomics Center.
Bioinformatics ; 36(5): 1351-1359, 2020 03 01.
Article em En | MEDLINE | ID: mdl-31589315
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / RNA Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / RNA Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos