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Identification of single nucleotide variants using position-specific error estimation in deep sequencing data.
Kleftogiannis, Dimitrios; Punta, Marco; Jayaram, Anuradha; Sandhu, Shahneen; Wong, Stephen Q; Gasi Tandefelt, Delila; Conteduca, Vincenza; Wetterskog, Daniel; Attard, Gerhardt; Lise, Stefano.
Afiliación
  • Kleftogiannis D; Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
  • Punta M; Present address: Genome Institute of Singapore (GIS), Agency of Science Research and Technology (A*STAR), Singapore, 138672, Singapore.
  • Jayaram A; Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
  • Sandhu S; UCL Cancer Institute, University College London, London, UK.
  • Wong SQ; Peter MacCallum Cancer Centre and University of Melbourne, Melbourne, Victoria, Australia.
  • Gasi Tandefelt D; Peter MacCallum Cancer Centre and University of Melbourne, Melbourne, Victoria, Australia.
  • Conteduca V; Department of Urology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Wetterskog D; Department of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, 47014, Meldola, Italy.
  • Attard G; UCL Cancer Institute, University College London, London, UK.
  • Lise S; UCL Cancer Institute, University College London, London, UK. g.attard@ucl.ac.uk.
BMC Med Genomics ; 12(1): 115, 2019 08 02.
Article en En | MEDLINE | ID: mdl-31375105
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Polimorfismo de Nucleótido Simple / Secuenciación de Nucleótidos de Alto Rendimiento Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: BMC Med Genomics Asunto de la revista: GENETICA MEDICA Año: 2019 Tipo del documento: Article
Texto completo
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Polimorfismo de Nucleótido Simple / Secuenciación de Nucleótidos de Alto Rendimiento Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: BMC Med Genomics Asunto de la revista: GENETICA MEDICA Año: 2019 Tipo del documento: Article