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mirTarRnaSeq: An R/Bioconductor Statistical Package for miRNA-mRNA Target Identification and Interaction Analysis.
Movassagh, Mercedeh; Morton, Sarah U; Hehnly, Christine; Smith, Jasmine; Doan, Trang T; Irizarry, Rafael; Broach, James R; Schiff, Steven J; Bailey, Jeffrey A; Paulson, Joseph N.
Afiliación
  • Movassagh M; Dana Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, MA, United States.
  • Morton SU; Boston Children's Hospital and Harvard Medical School, Boston, MA, United States.
  • Hehnly C; Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, United States.
  • Smith J; Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, United States.
  • Doan TT; Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, United States.
  • Irizarry R; Center for Neural Engineering and Center for Infectious Disease Dynamics, Departments of Engineering Science and Mechanics, Neurosurgery and Physics, The Pennsylvania State University, University Park, State College, PA, 16802, USA.
  • Broach JR; Dana Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, MA, United States.
  • Schiff SJ; Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, United States.
  • Bailey JA; Center for Neural Engineering and Center for Infectious Disease Dynamics, Departments of Engineering Science and Mechanics, Neurosurgery and Physics, The Pennsylvania State University, University Park, State College, PA, 16802, USA.
  • Paulson JN; Warren Alpert Medical School, Brown University, Providence, RI, USA.
BMC Genomics ; 23(1): 439, 2022 Jun 13.
Article en En | MEDLINE | ID: mdl-35698050

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: MicroARNs / COVID-19 Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: MicroARNs / COVID-19 Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido