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Preview of the microbial getting sequencing getting started guideGetting started guide

A guide to microbial sequencing with Oxford Nanopore

A guide to get started with sequencing microbial samples with Oxford Nanopore.


Most viewed

Image of metagenomics application noteApplication note

Oxford Nanopore sequencing provides superior metagenome-assembled genome recovery and strain-level resolution from a complex microbiome

In this application note, we demonstrate the capabilities of Oxford Nanopore metagenomics by sequencing and analysing the well-characterised ZymoBIOMICS Fecal Reference.
GridION flyer cover imageBrochure

GridION: one sequencer for many

Made with multiple projects and teams in mind, GridION gives you the freedom to start, stop, and scale your sequencing experiments without impacting others. Meanwhile, onboard compute keeps your real-time data optimised. Discover more.
MinION Mk1D flyer cover imageBrochure

MinION: palm sized, world ready

Discover how the portable yet powerful MinION Mk1D sequencing device can take your insights further afield. Start generating rapid, real-time results without compromise.
PromethION 2 Integrated flyer cover imageBrochure

PromethION 2 Integrated: small box, big picture

Explore the PromethION 2 Integrated and bring high-output Oxford Nanopore sequencing to your lab. Run up to two independent flow cells with onboard compute for real-time insights. Discover more.
2-page image of the brochureBrochure

Oxford Nanopore sequencing solutions for microbiology and infectious disease research

Discover the Oxford Nanopore sequencing techniques that can achieve comprehensive microbial genome characterisation.

Workflow overviews

Image preview of the pathogen metagenomics workflow overview.Workflow overview

Rapid identification of respiratory pathogens with Oxford Nanopore metagenomics

This end-to-end workflow introduces how to rapidly identify bacterial, fungal, and viral pathogens from respiratory research samples using metagenomic Oxford Nanopore sequencing on a MinION or GridION.
Microbiology MetagenomicsWorkflow overview

Performing accurate species-level bacterial identification with nanopore sequencing

This end-to-end workflow provides a rapid solution for species-level bacterial identification.

Preview image for the plant, animal, and environmental sequencing white paper, 'Genomics for a changing planet'.White paper

Genomics for a changing planet: sequencing the living world

Discover how a global community of researchers are harnessing Oxford Nanopore sequencing to study the far-reaching impacts of climate change, revealing deep insights across environmental research, agriculture, and pathogen surveillance.
Image of metagenomics white paperWhite paper

Addressing the challenges of metagenomics with Oxford Nanopore sequencing

Explore how reads with unrestricted length are revealing unprecedented insight into microbial communities.
wastewaterCase study

Wastewater sequencing — an early warning system for infectious disease outbreaks

Monitoring the genomic characteristics of pathogens circulating in a population can reveal important insights into the epidemiological dynamics of an outbreak. Unfortunately, sequencing every confirmed positive sample in a densely populated area is both challenging and expensive. Since viruses are s
Visualisation of bacteria, glowing in several colours.Case study

Species-level profiling of environmental microbiota with high-accuracy full-length nanopore 16S sequencing

Rapid bacterial detection plays a vital role in researching microbial ecology. Understanding bacterial composition, diversity, and dynamics is key in the response to pathogen emergence and outbreaks. Sequencing of the 16S ribosomal RNA (rRNA) gene is a predominant method for microbial identification
Event video

NCM 2023 Houston: 2043: a MinION space odyssey

The year is 2043. Following the first human landing on Mars in 2040, NASA has just embarked on the first sustained crewed mission. On the Martian surface, a prefabricated habitat with advanced and sustainable life support systems, shelf-stable food, power and communication infrastructure, and a suit

Protocols

适用于 16S 与 ITS 的微生物扩增子条形码测序试剂盒(SQK-MAB114.24)

Step-by-step protocol for microbial 16S and ITS amplicon sequencing using the Oxford Nanopore Microbial Barcoding Kit.
ONT Logo wheel black

基于细胞培养样本的 Nanopore 微生物分离株测序解决方案(NO-MISS)(SQK-RBK114 .24 或 .96)

基于细胞培养样本的 Nanopore 微生物分离株测序解决方案(NO-MISS)(SQK-RBK114 .24 或 .96)
SQK-RBK110.96 gDNA workflow v1

快速DNA测序V14 - 条形码(SQK-RBK114.24 或 SQK-RBK114.96)

本实验指南: - 使用基因组DNA - 支持为1-96个样本混样测序 - 建库用时仅需约60分钟 - 产出量高 - 包含片段化步骤 - 与R10.4.1 测序芯片兼容 仅供研究使用

Analysis workflows

wf-metagenomics

This workflow can be used for the taxonomic classification of metagenomic sequencing data.

wf-bacterial-genomes

This workflow is primarily used to assemble genomes from bacterial reads and provide information on features of interest within those assemblies through annotations.

wf-amplicon

This Nextflow workflow provides a simple way to analyse Oxford Nanopore reads generated from haploid amplicons.

wf-alignment

This workflow provides an easy way to align Oxford Nanopore reads and gather mapping stats either locally for small amounts of data or at scale in a distributed environment such as a cluster or the cloud.

Latest research

plasmidWebinar

Unlocking high-resolution, strain-resolved microbiome analyses | ASM Microbe 26

During this video we learn how full length Oxford Nanopore sequencing is unlocking high-resolution microbiome analyses
Publication

Sensitive long-read amplicon sequence variant recovery with savont

Publication: Sensitive long-read amplicon sequence variant recovery with savont
MicroPublication

Bioactive molecules unearthed by terabase-scale long-read sequencing of a soil metagenome

Publication: Bioactive molecules unearthed by terabase-scale long-read sequencing of a soil metagenome
Publication

Swine influenza-modified pulmonary microbiota

Publication: Swine influenza-modified pulmonary microbiota
Poster

16S vs shotgun nanopore sequencing detected different taxa in the same freshwater samples

Problem: 16S and shotgun assembly and read-based approaches are widely used for taxonomic profiling. The resulted taxonomic assignments are compared across studies. We showed that the estimated taxa are biased by the choice of shotgun vs amplicon method. Methods: Target database: GTDB Re

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