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Real-Time Selective Sequencing with RUBRIC: Read Until with Basecall and Reference-Informed Criteria.
Edwards, Harrison S; Krishnakumar, Raga; Sinha, Anupama; Bird, Sara W; Patel, Kamlesh D; Bartsch, Michael S.
Afiliação
  • Edwards HS; Exploratory Systems Dept., Sandia National Laboratories, Livermore, CA, USA.
  • Krishnakumar R; Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Canada.
  • Sinha A; Systems Biology Dept., Sandia National Laboratories, Livermore, CA, USA.
  • Bird SW; Systems Biology Dept., Sandia National Laboratories, Livermore, CA, USA.
  • Patel KD; Biotechnology & Bioengineering Dept., Sandia National Laboratories, Livermore, CA, USA.
  • Bartsch MS; uBiome, San Francisco, CA, USA.
Sci Rep ; 9(1): 11475, 2019 08 07.
Article em En | MEDLINE | ID: mdl-31391493
The Oxford MinION, the first commercial nanopore sequencer, is also the first to implement molecule-by-molecule real-time selective sequencing or "Read Until". As DNA transits a MinION nanopore, real-time pore current data can be accessed and analyzed to provide active feedback to that pore. Fragments of interest are sequenced by default, while DNA deemed non-informative is rejected by reversing the pore bias to eject the strand, providing a novel means of background depletion and/or target enrichment. In contrast to the previously published pattern-matching Read Until approach, our RUBRIC method is the first example of real-time selective sequencing where on-line basecalling enables alignment against conventional nucleic acid references to provide the basis for sequence/reject decisions. We evaluate RUBRIC performance across a range of optimizable parameters, apply it to mixed human/bacteria and CRISPR/Cas9-cut samples, and present a generalized model for estimating real-time selection performance as a function of sample composition and computing configuration.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Sequência de DNA / Sequenciamento de Nucleotídeos em Larga Escala / Modelos Genéticos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Sequência de DNA / Sequenciamento de Nucleotídeos em Larga Escala / Modelos Genéticos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos