bioRxiv (Cold Spring Harbor Laboratory) · 2015 · 138 citations · 16 references
Life SciencesBioinformaticsMicrobiologyGenomicsMetagenomicsSequence AnalysisDna SequencingGenome SequencingMetagenomic AnalysisPathogen DetectionShotgun Metagenomic SequencingTaxonomic ProfilingDna Sequence Data AnalysisMetagenomic IdentificationMetagenomic Pathogen DetectionMetagenomic SequencingMetagenomic Species Detection
Abstract Whole genome sequencing on next-generation instruments provides an unbiased way to identify the organisms present in complex metagenomic samples. However, the time-to-result can be protracted because of fixed-time sequencing runs and cumbersome bioinformatics workflows. This limits the utility of the approach in settings where rapid species identification is crucial, such as in the quality control of food-chain components, or in during an outbreak of an infectious disease. Here we present What’s in my Pot? (WIMP), a laboratory and analysis workflow in which, starting with an unprocessed sample, sequence data is generated and bacteria, viruses and fungi present in the sample are classified to subspecies and strain level in a quantitative manner, without prior knowledge of the sample composition, in approximately 3.5 hours. This workflow relies on the combination of Oxford Nanopore Technologies’ MinION™ sensing device with a real-time species identification bioinformatics application.
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The Complete Genome Sequence of the Lactic Acid Bacterium Lactococcus lactis ssp. lactis IL1403
A. Bolotin, Patrick Wincker, Stéphane Mauger et al. · Genome Research · 2001 · 876 citations · Full text
Improved data analysis for the MinION nanopore sequencer
Miten Jain, Ian T. Fiddes, Karen H. Miga et al. · Nature Methods · 2015 · 687 citations
Complete genome sequence of the plant commensal Pseudomonas fluorescens Pf-5
Ian T. Paulsen, Caroline M. Press, Jacques Ravel et al. · Nature Biotechnology · 2005 · 658 citations · Full text