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High-resolution sweep metagenomics using fast probabilistic inference.
Mäklin, Tommi; Kallonen, Teemu; David, Sophia; Boinett, Christine J; Pascoe, Ben; Méric, Guillaume; Aanensen, David M; Feil, Edward J; Baker, Stephen; Parkhill, Julian; Sheppard, Samuel K; Corander, Jukka; Honkela, Antti.
Afiliação
  • Mäklin T; Helsinki Institute for Information Technology HIIT, Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland.
  • Kallonen T; Department of Biostatistics, University of Oslo, Oslo, Norway.
  • David S; Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, UK.
  • Boinett CJ; Centre for Genomic Pathogen Surveillance, Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, UK.
  • Pascoe B; Hospital for Tropical Diseases, Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
  • Méric G; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK.
  • Aanensen DM; The Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, UK.
  • Feil EJ; The Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, UK.
  • Baker S; Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, UK.
  • Parkhill J; Department of Infectious Disease Epidemiology, Imperial College London, London, UK.
  • Sheppard SK; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Corander J; The Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, UK.
  • Honkela A; Hospital for Tropical Diseases, Wellcome Trust Major Overseas Programme, Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
Wellcome Open Res ; 5: 14, 2020.
Article em En | MEDLINE | ID: mdl-34746439
ABSTRACT
Determining the composition of bacterial communities beyond the level of a genus or species is challenging because of the considerable overlap between genomes representing close relatives. Here, we present the mSWEEP pipeline for identifying and estimating the relative sequence abundances of bacterial lineages from plate sweeps of enrichment cultures. mSWEEP leverages biologically grouped sequence assembly databases, applying probabilistic modelling, and provides controls for false positive results. Using sequencing data from major pathogens, we demonstrate significant improvements in lineage quantification and detection accuracy. Our pipeline facilitates investigating cultures comprising mixtures of bacteria, and opens up a new field of plate sweep metagenomics.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article