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Comparing the performance of selected variant callers using synthetic data and genome segmentation.
Bian, Xiaopeng; Zhu, Bin; Wang, Mingyi; Hu, Ying; Chen, Qingrong; Nguyen, Cu; Hicks, Belynda; Meerzaman, Daoud.
Afiliación
  • Bian X; Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD, 20850, USA. bianxi@mail.nih.gov.
  • Zhu B; Cancer Genomics Research Laboratory(CGR), Division of Cancer Epidemiology and Genetics, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, 8717 Grovemont Circle, Gaithersburg, MD, 20877, USA.
  • Wang M; Cancer Genomics Research Laboratory(CGR), Division of Cancer Epidemiology and Genetics, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, 8717 Grovemont Circle, Gaithersburg, MD, 20877, USA.
  • Hu Y; Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD, 20850, USA.
  • Chen Q; Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD, 20850, USA.
  • Nguyen C; Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD, 20850, USA.
  • Hicks B; Cancer Genomics Research Laboratory(CGR), Division of Cancer Epidemiology and Genetics, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, 8717 Grovemont Circle, Gaithersburg, MD, 20877, USA.
  • Meerzaman D; Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD, 20850, USA. meerzamd@mail.nih.gov.
BMC Bioinformatics ; 19(1): 429, 2018 Nov 19.
Article en En | MEDLINE | ID: mdl-30453880

Texto completo: 1 Colección: 01-internacional Asunto principal: Genoma Humano / Polimorfismo de Nucleótido Simple / Genómica / Secuenciación de Nucleótidos de Alto Rendimiento / Mutación Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Asunto principal: Genoma Humano / Polimorfismo de Nucleótido Simple / Genómica / Secuenciación de Nucleótidos de Alto Rendimiento / Mutación Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos