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SeqControl: process control for DNA sequencing.
Chong, Lauren C; Albuquerque, Marco A; Harding, Nicholas J; Caloian, Cristian; Chan-Seng-Yue, Michelle; de Borja, Richard; Fraser, Michael; Denroche, Robert E; Beck, Timothy A; van der Kwast, Theodorus; Bristow, Robert G; McPherson, John D; Boutros, Paul C.
Afiliação
  • Chong LC; Informatics &Biocomputing Platform, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
  • Albuquerque MA; Informatics &Biocomputing Platform, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
  • Harding NJ; Informatics &Biocomputing Platform, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
  • Caloian C; Informatics &Biocomputing Platform, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
  • Chan-Seng-Yue M; Informatics &Biocomputing Platform, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
  • de Borja R; Informatics &Biocomputing Platform, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
  • Fraser M; Department of Pathology, University Health Network, Toronto, Ontario, Canada.
  • Denroche RE; Informatics &Biocomputing Platform, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
  • Beck TA; Informatics &Biocomputing Platform, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
  • van der Kwast T; Department of Pathology, University Health Network, Toronto, Ontario, Canada.
  • Bristow RG; 1] Ontario Cancer Institute, University Health Network, Toronto, Ontario, Canada. [2] Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
  • McPherson JD; 1] Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada. [2] Genomics Platform, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
  • Boutros PC; 1] Informatics &Biocomputing Platform, Ontario Institute for Cancer Research, Toronto, Ontario, Canada. [2] Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada. [3] Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada.
Nat Methods ; 11(10): 1071-5, 2014 Oct.
Article em En | MEDLINE | ID: mdl-25173705
ABSTRACT
As high-throughput sequencing continues to increase in speed and throughput, routine clinical and industrial application draws closer. These 'production' settings will require enhanced quality monitoring and quality control to optimize output and reduce costs. We developed SeqControl, a framework for predicting sequencing quality and coverage using a set of 15 metrics describing overall coverage, coverage distribution, basewise coverage and basewise quality. Using whole-genome sequences of 27 prostate cancers and 26 normal references, we derived multivariate models that predict sequencing quality and depth. SeqControl robustly predicted how much sequencing was required to reach a given coverage depth (area under the curve (AUC) = 0.993), accurately classified clinically relevant formalin-fixed, paraffin-embedded samples, and made predictions from as little as one-eighth of a sequencing lane (AUC = 0.967). These techniques can be immediately incorporated into existing sequencing pipelines to monitor data quality in real time. SeqControl is available at http//labs.oicr.on.ca/Boutros-lab/software/SeqControl/.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Análise de Sequência de DNA / Biologia Computacional Tipo de estudo: Prognostic_studies Limite: Humans / Male Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Análise de Sequência de DNA / Biologia Computacional Tipo de estudo: Prognostic_studies Limite: Humans / Male Idioma: En Ano de publicação: 2014 Tipo de documento: Article