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Novogene Europe
  • Novogene Europe
  • Genomics
    • Human Whole Genome Sequencing
    • Whole Exome Sequencing
    • Plant and Animal Whole Genome Sequencing
    • Plant and Animal De novo Sequencing
    • Microbial Whole Genome Sequencing
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    • Olink ProteomicsNew!
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    • DNA Methylation SequencingUpdated!
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    • Untargeted MetabolomicsComing Soon!
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    • mRNA Sequencing
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    • Amplicon Sequencing
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Human Whole Genome SequencingWhole Exome SequencingPlant and Animal Whole Genome SequencingPlant and Animal De novo SequencingDNA Methylation SequencingmRNA SequencingFull-Length Transcriptome SequencingWhole Transcriptome SequencingMetatranscriptome SequencingShotgun Metagenomics SequencingAmplicon SequencingWhole Plasmid Sequencing10X Single Cell Gene Expression10X Single Cell Immune Profiling10X Visium HD Spatial Gene ExpressionOlink ProteomicsUntargeted MetabolomicsAccredited & Validated Clinical Research Sequencing
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Novogene Europe
  • Novogene Europe
  • Genomics
    • Human Whole Genome Sequencing
    • Whole Exome Sequencing
    • Plant and Animal Whole Genome Sequencing
    • Plant and Animal De novo Sequencing
    • Microbial Whole Genome Sequencing
    • Microbial De novo Sequencing
    • Whole Plasmid SequencingOrder Online!
    Proteomics
    • Olink ProteomicsNew!
    Epigenomics
    • DNA Methylation SequencingUpdated!
    • Chromatin Immunoprecipitation Sequencing (ChIP-seq)
    • RNA Immunoprecipitation Sequencing (RIP-seq)
    Metabolomics
    • Untargeted MetabolomicsComing Soon!
    Transcriptomics
    • mRNA Sequencing
    • Small RNA Sequencing (sRNA‑seq)
    • Circular RNA Sequencing (circRNA-seq)
    • Total RNA Sequencing
    • Whole Transcriptome Sequencing
    • Full-Length Transcriptome Sequencing
    • Prokaryotic RNA Sequencing
    • Metatranscriptome Sequencing
    Metagenomics
    • Amplicon SequencingOrder Online!
    • Shotgun Metagenomics Sequencing
    Single Cell & Spatial Omics
    • 10X Single Cell Gene Expression
    • 10X Single Cell Immune Profiling
    • 10X Visium HD Spatial Gene Expression
    Premade Library
    • Sequencing Only on Illumina® Sequencer
    • Sequencing Only on Element SequencerNew!
    • Sequencing Only on PacBio Sequencer
    Translational Research
    • Accredited & Validated Clinical Research Sequencing
  • PromotionsPromotions
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    • Automated Delivery Platform (Falcon)
    • Bioinformatics Analysis Tool (NovoMagic)
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    • Immuno-oncology
    • Agrigenomics
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    • Food Science
    • Human Microbiome
    • Plant and Animal Microbiome
    • Drug Discovery and Development
    • Rare and Complex Diseases
    • About Us
    • News & Events
    • Careers
    • Our Locations
  • Contact UsContact Us
    • Amplicon Sequencing
    • Whole Plasmid Sequencing

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Services
Human Whole Genome SequencingWhole Exome SequencingPlant and Animal Whole Genome SequencingPlant and Animal De novo SequencingDNA Methylation SequencingmRNA SequencingFull-Length Transcriptome SequencingWhole Transcriptome SequencingMetatranscriptome SequencingShotgun Metagenomics SequencingAmplicon SequencingWhole Plasmid Sequencing10X Single Cell Gene Expression10X Single Cell Immune Profiling10X Visium HD Spatial Gene ExpressionOlink ProteomicsUntargeted MetabolomicsAccredited & Validated Clinical Research Sequencing
Resources
WebinarsCase StudyBlogBrochure
Support
PlatformBioinformatics Analysis Tool (NovoMagic)Customer Service System (CSS)Customer Support
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Copyright © 2026 Novogene Inc. All rights reserved.For Research Use Only. Not for Clinical Diagnostic Use.
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Shotgun Metagenomics Sequencing

DNA-based microbial community profiling to explore taxonomic composition, functional potential and genome-resolved insights
OverviewOverview
BenefitsBenefits
ApplicationsApplications
SpecificationsSpecifications
ResourcesResources

Shotgun metagenomic sequencing analyses total DNA extracted from complex microbial communities, without relying on targeted amplification or microbial culturing. It provides a broader view of community composition and genetic potential, helping researchers investigate which organisms are present and what functional capabilities may be encoded within the microbiome.


Novogene Europe supports shotgun metagenomic sequencing projects with short-read and long-read sequencing options, including Illumina, PacBio and Oxford Nanopore, depending on project goals and sample requirements. Bioinformatics workflows can support taxonomic profiling, metagenome assembly, gene prediction, functional annotation, pathway analysis, antimicrobial resistance gene analysis and genome-resolved approaches such as metagenome-assembled genome analysis where suitable.

Service Highlights

DNA-based Community Profiling
DNA-based Community Profiling

Analyse total microbial DNA to profile community composition and explore the genetic potential encoded within complex microbiome samples.

DNA-based Community Profiling
DNA-based Community Profiling

Analyse total microbial DNA to profile community composition and explore the genetic potential encoded within complex microbiome samples.

Short- and Long-read Options
Short- and Long-read Options

Support shotgun metagenomic projects using Illumina, PacBio or Oxford Nanopore sequencing options, depending on project goals and sample requirements.

Short- and Long-read Options
Short- and Long-read Options

Support shotgun metagenomic projects using Illumina, PacBio or Oxford Nanopore sequencing options, depending on project goals and sample requirements.

Taxonomic and Functional Analysis
Taxonomic and Functional Analysis

Bioinformatics workflows support species annotation, gene prediction, functional annotation and pathway-level interpretation of microbial community data.

Taxonomic and Functional Analysis
Taxonomic and Functional Analysis

Bioinformatics workflows support species annotation, gene prediction, functional annotation and pathway-level interpretation of microbial community data.

Assembly and MAG Analysis
Assembly and MAG Analysis

Metagenome assembly and genome-resolved analysis can support recovery of metagenome-assembled genomes where sample complexity and data quality allow.

Assembly and MAG Analysis
Assembly and MAG Analysis

Metagenome assembly and genome-resolved analysis can support recovery of metagenome-assembled genomes where sample complexity and data quality allow.

Service Highlights

DNA-based Community Profiling
DNA-based Community Profiling

Analyse total microbial DNA to profile community composition and explore the genetic potential encoded within complex microbiome samples.

DNA-based Community Profiling
DNA-based Community Profiling

Analyse total microbial DNA to profile community composition and explore the genetic potential encoded within complex microbiome samples.

Short- and Long-read Options
Short- and Long-read Options

Support shotgun metagenomic projects using Illumina, PacBio or Oxford Nanopore sequencing options, depending on project goals and sample requirements.

Short- and Long-read Options
Short- and Long-read Options

Support shotgun metagenomic projects using Illumina, PacBio or Oxford Nanopore sequencing options, depending on project goals and sample requirements.

Taxonomic and Functional Analysis
Taxonomic and Functional Analysis

Bioinformatics workflows support species annotation, gene prediction, functional annotation and pathway-level interpretation of microbial community data.

Taxonomic and Functional Analysis
Taxonomic and Functional Analysis

Bioinformatics workflows support species annotation, gene prediction, functional annotation and pathway-level interpretation of microbial community data.

Assembly and MAG Analysis
Assembly and MAG Analysis

Metagenome assembly and genome-resolved analysis can support recovery of metagenome-assembled genomes where sample complexity and data quality allow.

Assembly and MAG Analysis
Assembly and MAG Analysis

Metagenome assembly and genome-resolved analysis can support recovery of metagenome-assembled genomes where sample complexity and data quality allow.

Applications

Microbiome Composition and Diversity

Shotgun metagenomics helps researchers profile microbial community composition and diversity across environmental, host-associated or experimental samples.

Microbiome Composition and Diversity

Shotgun metagenomics helps researchers profile microbial community composition and diversity across environmental, host-associated or experimental samples.

Functional Potential Analysis

DNA-level gene and pathway analysis can support research into microbial metabolic potential, community functions and ecosystem capabilities.

Functional Potential Analysis

DNA-level gene and pathway analysis can support research into microbial metabolic potential, community functions and ecosystem capabilities.

Antimicrobial Resistance and Virulence Research

Shotgun metagenomics can support analysis of antimicrobial resistance genes, virulence-associated factors and other functional markers across microbiome samples.

Antimicrobial Resistance and Virulence Research

Shotgun metagenomics can support analysis of antimicrobial resistance genes, virulence-associated factors and other functional markers across microbiome samples.

Genome-resolved Microbiome Research

Metagenome assembly and MAG analysis can help link genes and pathways to microbial community members where data quality and sample complexity allow.

Genome-resolved Microbiome Research

Metagenome assembly and MAG analysis can help link genes and pathways to microbial community members where data quality and sample complexity allow.

Applications

Microbiome Composition and Diversity

Shotgun metagenomics helps researchers profile microbial community composition and diversity across environmental, host-associated or experimental samples.

Microbiome Composition and Diversity

Shotgun metagenomics helps researchers profile microbial community composition and diversity across environmental, host-associated or experimental samples.

Functional Potential Analysis

DNA-level gene and pathway analysis can support research into microbial metabolic potential, community functions and ecosystem capabilities.

Functional Potential Analysis

DNA-level gene and pathway analysis can support research into microbial metabolic potential, community functions and ecosystem capabilities.

Antimicrobial Resistance and Virulence Research

Shotgun metagenomics can support analysis of antimicrobial resistance genes, virulence-associated factors and other functional markers across microbiome samples.

Antimicrobial Resistance and Virulence Research

Shotgun metagenomics can support analysis of antimicrobial resistance genes, virulence-associated factors and other functional markers across microbiome samples.

Genome-resolved Microbiome Research

Metagenome assembly and MAG analysis can help link genes and pathways to microbial community members where data quality and sample complexity allow.

Genome-resolved Microbiome Research

Metagenome assembly and MAG analysis can help link genes and pathways to microbial community members where data quality and sample complexity allow.

Specifications

Sample Requirements

The quantities listed are provided for reference only. Please download the Sample Requirements for detailed guidance, or contact us to discuss your project-specific requirements.

ServiceSample TypeAmountVolumeConcentrationPurity
Shotgun Metagenomic SequencingTotal DNA≥ 100 ng≥20 μL≥ 5 ng/μLOD260/280 = 1.8-2.0.no degradation, no contamination Fragments longer than 500 bp
Shotgun Metagenomic Sequencing(PacBio)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
Shotgun Metagenomic Sequencing(Nanopore)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
HMW = High Molecular Weight; NC/QC = NanoDrop concentration/Qubit concentration

Sample Requirements

The quantities listed are provided for reference only. Please download the Sample Requirements for detailed guidance, or contact us to discuss your project-specific requirements.

ServiceSample TypeAmountVolumeConcentrationPurity
Shotgun Metagenomic SequencingTotal DNA≥ 100 ng≥20 μL≥ 5 ng/μLOD260/280 = 1.8-2.0.no degradation, no contamination Fragments longer than 500 bp
Shotgun Metagenomic Sequencing(PacBio)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
Shotgun Metagenomic Sequencing(Nanopore)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
HMW = High Molecular Weight; NC/QC = NanoDrop concentration/Qubit concentration

Sample Requirements

The quantities listed are provided for reference only. Please download the Sample Requirements for detailed guidance, or contact us to discuss your project-specific requirements.

ServiceSample TypeAmountVolumeConcentrationPurity
Shotgun Metagenomic SequencingTotal DNA≥ 100 ng≥20 μL≥ 5 ng/μLOD260/280 = 1.8-2.0.no degradation, no contamination Fragments longer than 500 bp
Shotgun Metagenomic Sequencing(PacBio)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
Shotgun Metagenomic Sequencing(Nanopore)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
HMW = High Molecular Weight; NC/QC = NanoDrop concentration/Qubit concentration

Sample Requirements

The quantities listed are provided for reference only. Please download the Sample Requirements for detailed guidance, or contact us to discuss your project-specific requirements.

ServiceSample TypeAmountVolumeConcentrationPurity
Shotgun Metagenomic SequencingTotal DNA≥ 100 ng≥20 μL≥ 5 ng/μLOD260/280 = 1.8-2.0.no degradation, no contamination Fragments longer than 500 bp
Shotgun Metagenomic Sequencing(PacBio)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
Shotgun Metagenomic Sequencing(Nanopore)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
HMW = High Molecular Weight; NC/QC = NanoDrop concentration/Qubit concentration

Sequencing and Analysis

Recommended data outputs and analysis examples are provided for reference only. For detailed information, please contact us to discuss your project-specific analysis requirements.

Sequencing PlatformIllumina NovaSeq PlatformPacBio Revio PlatformOxford Nanopore Platform
Sequencing StrategyPair-end 150 bpCCS (Circular Consensus Sequencing) ModeSingle-pass Sequencing
Recommended Sequencing Depth≥ 6Gb for simple environments
≥ 12Gb for complex environments
≥ 10Gb for simple environments≥ 10Gb for simple environments(Note:Integrated analysis of second-generation and third-generation sequencing data was performed.)
Analysis Options
(Choose among these three)
Standard Analysis(Assembly-based)Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, eggNOG, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
MetaPhlAn4-HUMAnN3(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( MetaCyc, KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--
Kraken2(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--

Sequencing and Analysis

Recommended data outputs and analysis examples are provided for reference only. For detailed information, please contact us to discuss your project-specific analysis requirements.

Sequencing PlatformIllumina NovaSeq PlatformPacBio Revio PlatformOxford Nanopore Platform
Sequencing StrategyPair-end 150 bpCCS (Circular Consensus Sequencing) ModeSingle-pass Sequencing
Recommended Sequencing Depth≥ 6Gb for simple environments
≥ 12Gb for complex environments
≥ 10Gb for simple environments≥ 10Gb for simple environments(Note:Integrated analysis of second-generation and third-generation sequencing data was performed.)
Analysis Options
(Choose among these three)
Standard Analysis(Assembly-based)Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, eggNOG, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
MetaPhlAn4-HUMAnN3(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( MetaCyc, KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--
Kraken2(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--

Sequencing and Analysis

Recommended data outputs and analysis examples are provided for reference only. For detailed information, please contact us to discuss your project-specific analysis requirements.

Sequencing PlatformIllumina NovaSeq PlatformPacBio Revio PlatformOxford Nanopore Platform
Sequencing StrategyPair-end 150 bpCCS (Circular Consensus Sequencing) ModeSingle-pass Sequencing
Recommended Sequencing Depth≥ 6Gb for simple environments
≥ 12Gb for complex environments
≥ 10Gb for simple environments≥ 10Gb for simple environments(Note:Integrated analysis of second-generation and third-generation sequencing data was performed.)
Analysis Options
(Choose among these three)
Standard Analysis(Assembly-based)Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, eggNOG, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
MetaPhlAn4-HUMAnN3(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( MetaCyc, KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--
Kraken2(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--

Sequencing and Analysis

Recommended data outputs and analysis examples are provided for reference only. For detailed information, please contact us to discuss your project-specific analysis requirements.

Sequencing PlatformIllumina NovaSeq PlatformPacBio Revio PlatformOxford Nanopore Platform
Sequencing StrategyPair-end 150 bpCCS (Circular Consensus Sequencing) ModeSingle-pass Sequencing
Recommended Sequencing Depth≥ 6Gb for simple environments
≥ 12Gb for complex environments
≥ 10Gb for simple environments≥ 10Gb for simple environments(Note:Integrated analysis of second-generation and third-generation sequencing data was performed.)
Analysis Options
(Choose among these three)
Standard Analysis(Assembly-based)Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, eggNOG, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
MetaPhlAn4-HUMAnN3(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( MetaCyc, KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--
Kraken2(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--

Specifications

Sample Requirements

The quantities listed are provided for reference only. Please download the Sample Requirements for detailed guidance, or contact us to discuss your project-specific requirements.

ServiceSample TypeAmountVolumeConcentrationPurity
Shotgun Metagenomic SequencingTotal DNA≥ 100 ng≥20 μL≥ 5 ng/μLOD260/280 = 1.8-2.0.no degradation, no contamination Fragments longer than 500 bp
Shotgun Metagenomic Sequencing(PacBio)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
Shotgun Metagenomic Sequencing(Nanopore)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
HMW = High Molecular Weight; NC/QC = NanoDrop concentration/Qubit concentration

Sample Requirements

The quantities listed are provided for reference only. Please download the Sample Requirements for detailed guidance, or contact us to discuss your project-specific requirements.

ServiceSample TypeAmountVolumeConcentrationPurity
Shotgun Metagenomic SequencingTotal DNA≥ 100 ng≥20 μL≥ 5 ng/μLOD260/280 = 1.8-2.0.no degradation, no contamination Fragments longer than 500 bp
Shotgun Metagenomic Sequencing(PacBio)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
Shotgun Metagenomic Sequencing(Nanopore)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
HMW = High Molecular Weight; NC/QC = NanoDrop concentration/Qubit concentration

Sample Requirements

The quantities listed are provided for reference only. Please download the Sample Requirements for detailed guidance, or contact us to discuss your project-specific requirements.

ServiceSample TypeAmountVolumeConcentrationPurity
Shotgun Metagenomic SequencingTotal DNA≥ 100 ng≥20 μL≥ 5 ng/μLOD260/280 = 1.8-2.0.no degradation, no contamination Fragments longer than 500 bp
Shotgun Metagenomic Sequencing(PacBio)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
Shotgun Metagenomic Sequencing(Nanopore)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
HMW = High Molecular Weight; NC/QC = NanoDrop concentration/Qubit concentration

Sample Requirements

The quantities listed are provided for reference only. Please download the Sample Requirements for detailed guidance, or contact us to discuss your project-specific requirements.

ServiceSample TypeAmountVolumeConcentrationPurity
Shotgun Metagenomic SequencingTotal DNA≥ 100 ng≥20 μL≥ 5 ng/μLOD260/280 = 1.8-2.0.no degradation, no contamination Fragments longer than 500 bp
Shotgun Metagenomic Sequencing(PacBio)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
Shotgun Metagenomic Sequencing(Nanopore)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
HMW = High Molecular Weight; NC/QC = NanoDrop concentration/Qubit concentration

Sequencing and Analysis

Recommended data outputs and analysis examples are provided for reference only. For detailed information, please contact us to discuss your project-specific analysis requirements.

Sequencing PlatformIllumina NovaSeq PlatformPacBio Revio PlatformOxford Nanopore Platform
Sequencing StrategyPair-end 150 bpCCS (Circular Consensus Sequencing) ModeSingle-pass Sequencing
Recommended Sequencing Depth≥ 6Gb for simple environments
≥ 12Gb for complex environments
≥ 10Gb for simple environments≥ 10Gb for simple environments(Note:Integrated analysis of second-generation and third-generation sequencing data was performed.)
Analysis Options
(Choose among these three)
Standard Analysis(Assembly-based)Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, eggNOG, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
MetaPhlAn4-HUMAnN3(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( MetaCyc, KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--
Kraken2(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--

Sequencing and Analysis

Recommended data outputs and analysis examples are provided for reference only. For detailed information, please contact us to discuss your project-specific analysis requirements.

Sequencing PlatformIllumina NovaSeq PlatformPacBio Revio PlatformOxford Nanopore Platform
Sequencing StrategyPair-end 150 bpCCS (Circular Consensus Sequencing) ModeSingle-pass Sequencing
Recommended Sequencing Depth≥ 6Gb for simple environments
≥ 12Gb for complex environments
≥ 10Gb for simple environments≥ 10Gb for simple environments(Note:Integrated analysis of second-generation and third-generation sequencing data was performed.)
Analysis Options
(Choose among these three)
Standard Analysis(Assembly-based)Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, eggNOG, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
MetaPhlAn4-HUMAnN3(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( MetaCyc, KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--
Kraken2(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--

Sequencing and Analysis

Recommended data outputs and analysis examples are provided for reference only. For detailed information, please contact us to discuss your project-specific analysis requirements.

Sequencing PlatformIllumina NovaSeq PlatformPacBio Revio PlatformOxford Nanopore Platform
Sequencing StrategyPair-end 150 bpCCS (Circular Consensus Sequencing) ModeSingle-pass Sequencing
Recommended Sequencing Depth≥ 6Gb for simple environments
≥ 12Gb for complex environments
≥ 10Gb for simple environments≥ 10Gb for simple environments(Note:Integrated analysis of second-generation and third-generation sequencing data was performed.)
Analysis Options
(Choose among these three)
Standard Analysis(Assembly-based)Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, eggNOG, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
MetaPhlAn4-HUMAnN3(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( MetaCyc, KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--
Kraken2(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--

Sequencing and Analysis

Recommended data outputs and analysis examples are provided for reference only. For detailed information, please contact us to discuss your project-specific analysis requirements.

Sequencing PlatformIllumina NovaSeq PlatformPacBio Revio PlatformOxford Nanopore Platform
Sequencing StrategyPair-end 150 bpCCS (Circular Consensus Sequencing) ModeSingle-pass Sequencing
Recommended Sequencing Depth≥ 6Gb for simple environments
≥ 12Gb for complex environments
≥ 10Gb for simple environments≥ 10Gb for simple environments(Note:Integrated analysis of second-generation and third-generation sequencing data was performed.)
Analysis Options
(Choose among these three)
Standard Analysis(Assembly-based)Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, eggNOG, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
MetaPhlAn4-HUMAnN3(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( MetaCyc, KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--
Kraken2(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--

Resources

Example Analysis Output

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Taxonomic Composition

Summarise microbial community composition across samples using taxonomic abundance profiles.

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ARG Taxonomy Association

Explore relationships between antimicrobial resistance genes and associated microbial taxa.

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Beta Diversity PCoA

Visualise differences in microbial community structure across samples or groups.

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Krona Taxonomy View

Explore interactive taxonomic classification results across microbial community samples.

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Taxa Heatmap

Compare abundance patterns of annotated taxa across samples and experimental groups.

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Mobile Element Overview

Visualise mobile genetic element patterns across samples or annotated genomic regions.

Image
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1/1
Taxonomic Composition

Summarise microbial community composition across samples using taxonomic abundance profiles.

Image
Image
1/1
ARG Taxonomy Association

Explore relationships between antimicrobial resistance genes and associated microbial taxa.

Image
Image
1/1
Beta Diversity PCoA

Visualise differences in microbial community structure across samples or groups.

Image
Image
1/1
Krona Taxonomy View

Explore interactive taxonomic classification results across microbial community samples.

Image
Image
1/1
Taxa Heatmap

Compare abundance patterns of annotated taxa across samples and experimental groups.

Image
Image
1/1
Mobile Element Overview

Visualise mobile genetic element patterns across samples or annotated genomic regions.

Image
Image
1/1
Taxonomic Composition

Summarise microbial community composition across samples using taxonomic abundance profiles.

Image
Image
1/1
ARG Taxonomy Association

Explore relationships between antimicrobial resistance genes and associated microbial taxa.

Image
Image
1/1
Beta Diversity PCoA

Visualise differences in microbial community structure across samples or groups.

Image
Image
1/1
Krona Taxonomy View

Explore interactive taxonomic classification results across microbial community samples.

Image
Image
1/1
Taxa Heatmap

Compare abundance patterns of annotated taxa across samples and experimental groups.

Image
Image
1/1
Mobile Element Overview

Visualise mobile genetic element patterns across samples or annotated genomic regions.

Image
Image
1/1
Taxonomic Composition

Summarise microbial community composition across samples using taxonomic abundance profiles.

Image
Image
1/1
ARG Taxonomy Association

Explore relationships between antimicrobial resistance genes and associated microbial taxa.

Image
Image
1/1
Beta Diversity PCoA

Visualise differences in microbial community structure across samples or groups.

Image
Image
1/1
Krona Taxonomy View

Explore interactive taxonomic classification results across microbial community samples.

Image
Image
1/1
Taxa Heatmap

Compare abundance patterns of annotated taxa across samples and experimental groups.

Image
Image
1/1
Mobile Element Overview

Visualise mobile genetic element patterns across samples or annotated genomic regions.

Webinars

Decoding Microbial Communities: Sequencing Solutions for Microbiome Research

Explore the latest approaches for studying microbial communities using amplicon sequencing, metagenomics, and metatranscriptomics. This webinar will highlight how these technologies can reveal microbial diversity, function, and interactions across human, environmental, and industrial ecosystems.

Learn More
(Decoding Microbial Communities: Sequencing Solutions for Microbiome Research)
Decoding Microbial Communities: Sequencing Solutions for Microbiome Research

Explore the latest approaches for studying microbial communities using amplicon sequencing, metagenomics, and metatranscriptomics. This webinar will highlight how these technologies can reveal microbial diversity, function, and interactions across human, environmental, and industrial ecosystems.

Learn More
(Decoding Microbial Communities: Sequencing Solutions for Microbiome Research)
Decoding Microbial Communities: Sequencing Solutions for Microbiome Research

Explore the latest approaches for studying microbial communities using amplicon sequencing, metagenomics, and metatranscriptomics. This webinar will highlight how these technologies can reveal microbial diversity, function, and interactions across human, environmental, and industrial ecosystems.

Learn More
(Decoding Microbial Communities: Sequencing Solutions for Microbiome Research)
Decoding Microbial Communities: Sequencing Solutions for Microbiome Research

Explore the latest approaches for studying microbial communities using amplicon sequencing, metagenomics, and metatranscriptomics. This webinar will highlight how these technologies can reveal microbial diversity, function, and interactions across human, environmental, and industrial ecosystems.

Learn More
(Decoding Microbial Communities: Sequencing Solutions for Microbiome Research)

Explore Microbiome Insights

Access webinars, brochures and case studies covering sequencing technologies, study planning and data interpretation.
View Webinar Library
(Explore Microbiome Insights)
View Webinar Library
(Explore Microbiome Insights)
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Shotgun Metagenomics Sequencing

DNA-based microbial community profiling to explore taxonomic composition, functional potential and genome-resolved insights
OverviewOverview
BenefitsBenefits
ApplicationsApplications
SpecificationsSpecifications
ResourcesResources

Shotgun metagenomic sequencing analyses total DNA extracted from complex microbial communities, without relying on targeted amplification or microbial culturing. It provides a broader view of community composition and genetic potential, helping researchers investigate which organisms are present and what functional capabilities may be encoded within the microbiome.


Novogene Europe supports shotgun metagenomic sequencing projects with short-read and long-read sequencing options, including Illumina, PacBio and Oxford Nanopore, depending on project goals and sample requirements. Bioinformatics workflows can support taxonomic profiling, metagenome assembly, gene prediction, functional annotation, pathway analysis, antimicrobial resistance gene analysis and genome-resolved approaches such as metagenome-assembled genome analysis where suitable.

Service Highlights

DNA-based Community Profiling
DNA-based Community Profiling

Analyse total microbial DNA to profile community composition and explore the genetic potential encoded within complex microbiome samples.

DNA-based Community Profiling
DNA-based Community Profiling

Analyse total microbial DNA to profile community composition and explore the genetic potential encoded within complex microbiome samples.

Short- and Long-read Options
Short- and Long-read Options

Support shotgun metagenomic projects using Illumina, PacBio or Oxford Nanopore sequencing options, depending on project goals and sample requirements.

Short- and Long-read Options
Short- and Long-read Options

Support shotgun metagenomic projects using Illumina, PacBio or Oxford Nanopore sequencing options, depending on project goals and sample requirements.

Taxonomic and Functional Analysis
Taxonomic and Functional Analysis

Bioinformatics workflows support species annotation, gene prediction, functional annotation and pathway-level interpretation of microbial community data.

Taxonomic and Functional Analysis
Taxonomic and Functional Analysis

Bioinformatics workflows support species annotation, gene prediction, functional annotation and pathway-level interpretation of microbial community data.

Assembly and MAG Analysis
Assembly and MAG Analysis

Metagenome assembly and genome-resolved analysis can support recovery of metagenome-assembled genomes where sample complexity and data quality allow.

Assembly and MAG Analysis
Assembly and MAG Analysis

Metagenome assembly and genome-resolved analysis can support recovery of metagenome-assembled genomes where sample complexity and data quality allow.

Service Highlights

DNA-based Community Profiling
DNA-based Community Profiling

Analyse total microbial DNA to profile community composition and explore the genetic potential encoded within complex microbiome samples.

DNA-based Community Profiling
DNA-based Community Profiling

Analyse total microbial DNA to profile community composition and explore the genetic potential encoded within complex microbiome samples.

Short- and Long-read Options
Short- and Long-read Options

Support shotgun metagenomic projects using Illumina, PacBio or Oxford Nanopore sequencing options, depending on project goals and sample requirements.

Short- and Long-read Options
Short- and Long-read Options

Support shotgun metagenomic projects using Illumina, PacBio or Oxford Nanopore sequencing options, depending on project goals and sample requirements.

Taxonomic and Functional Analysis
Taxonomic and Functional Analysis

Bioinformatics workflows support species annotation, gene prediction, functional annotation and pathway-level interpretation of microbial community data.

Taxonomic and Functional Analysis
Taxonomic and Functional Analysis

Bioinformatics workflows support species annotation, gene prediction, functional annotation and pathway-level interpretation of microbial community data.

Assembly and MAG Analysis
Assembly and MAG Analysis

Metagenome assembly and genome-resolved analysis can support recovery of metagenome-assembled genomes where sample complexity and data quality allow.

Assembly and MAG Analysis
Assembly and MAG Analysis

Metagenome assembly and genome-resolved analysis can support recovery of metagenome-assembled genomes where sample complexity and data quality allow.

Applications

Microbiome Composition and Diversity

Shotgun metagenomics helps researchers profile microbial community composition and diversity across environmental, host-associated or experimental samples.

Microbiome Composition and Diversity

Shotgun metagenomics helps researchers profile microbial community composition and diversity across environmental, host-associated or experimental samples.

Functional Potential Analysis

DNA-level gene and pathway analysis can support research into microbial metabolic potential, community functions and ecosystem capabilities.

Functional Potential Analysis

DNA-level gene and pathway analysis can support research into microbial metabolic potential, community functions and ecosystem capabilities.

Antimicrobial Resistance and Virulence Research

Shotgun metagenomics can support analysis of antimicrobial resistance genes, virulence-associated factors and other functional markers across microbiome samples.

Antimicrobial Resistance and Virulence Research

Shotgun metagenomics can support analysis of antimicrobial resistance genes, virulence-associated factors and other functional markers across microbiome samples.

Genome-resolved Microbiome Research

Metagenome assembly and MAG analysis can help link genes and pathways to microbial community members where data quality and sample complexity allow.

Genome-resolved Microbiome Research

Metagenome assembly and MAG analysis can help link genes and pathways to microbial community members where data quality and sample complexity allow.

Applications

Microbiome Composition and Diversity

Shotgun metagenomics helps researchers profile microbial community composition and diversity across environmental, host-associated or experimental samples.

Microbiome Composition and Diversity

Shotgun metagenomics helps researchers profile microbial community composition and diversity across environmental, host-associated or experimental samples.

Functional Potential Analysis

DNA-level gene and pathway analysis can support research into microbial metabolic potential, community functions and ecosystem capabilities.

Functional Potential Analysis

DNA-level gene and pathway analysis can support research into microbial metabolic potential, community functions and ecosystem capabilities.

Antimicrobial Resistance and Virulence Research

Shotgun metagenomics can support analysis of antimicrobial resistance genes, virulence-associated factors and other functional markers across microbiome samples.

Antimicrobial Resistance and Virulence Research

Shotgun metagenomics can support analysis of antimicrobial resistance genes, virulence-associated factors and other functional markers across microbiome samples.

Genome-resolved Microbiome Research

Metagenome assembly and MAG analysis can help link genes and pathways to microbial community members where data quality and sample complexity allow.

Genome-resolved Microbiome Research

Metagenome assembly and MAG analysis can help link genes and pathways to microbial community members where data quality and sample complexity allow.

Specifications

Sample Requirements

The quantities listed are provided for reference only. Please download the Sample Requirements for detailed guidance, or contact us to discuss your project-specific requirements.

ServiceSample TypeAmountVolumeConcentrationPurity
Shotgun Metagenomic SequencingTotal DNA≥ 100 ng≥20 μL≥ 5 ng/μLOD260/280 = 1.8-2.0.no degradation, no contamination Fragments longer than 500 bp
Shotgun Metagenomic Sequencing(PacBio)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
Shotgun Metagenomic Sequencing(Nanopore)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
HMW = High Molecular Weight; NC/QC = NanoDrop concentration/Qubit concentration

Sample Requirements

The quantities listed are provided for reference only. Please download the Sample Requirements for detailed guidance, or contact us to discuss your project-specific requirements.

ServiceSample TypeAmountVolumeConcentrationPurity
Shotgun Metagenomic SequencingTotal DNA≥ 100 ng≥20 μL≥ 5 ng/μLOD260/280 = 1.8-2.0.no degradation, no contamination Fragments longer than 500 bp
Shotgun Metagenomic Sequencing(PacBio)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
Shotgun Metagenomic Sequencing(Nanopore)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
HMW = High Molecular Weight; NC/QC = NanoDrop concentration/Qubit concentration

Sample Requirements

The quantities listed are provided for reference only. Please download the Sample Requirements for detailed guidance, or contact us to discuss your project-specific requirements.

ServiceSample TypeAmountVolumeConcentrationPurity
Shotgun Metagenomic SequencingTotal DNA≥ 100 ng≥20 μL≥ 5 ng/μLOD260/280 = 1.8-2.0.no degradation, no contamination Fragments longer than 500 bp
Shotgun Metagenomic Sequencing(PacBio)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
Shotgun Metagenomic Sequencing(Nanopore)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
HMW = High Molecular Weight; NC/QC = NanoDrop concentration/Qubit concentration

Sample Requirements

The quantities listed are provided for reference only. Please download the Sample Requirements for detailed guidance, or contact us to discuss your project-specific requirements.

ServiceSample TypeAmountVolumeConcentrationPurity
Shotgun Metagenomic SequencingTotal DNA≥ 100 ng≥20 μL≥ 5 ng/μLOD260/280 = 1.8-2.0.no degradation, no contamination Fragments longer than 500 bp
Shotgun Metagenomic Sequencing(PacBio)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
Shotgun Metagenomic Sequencing(Nanopore)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
HMW = High Molecular Weight; NC/QC = NanoDrop concentration/Qubit concentration

Sequencing and Analysis

Recommended data outputs and analysis examples are provided for reference only. For detailed information, please contact us to discuss your project-specific analysis requirements.

Sequencing PlatformIllumina NovaSeq PlatformPacBio Revio PlatformOxford Nanopore Platform
Sequencing StrategyPair-end 150 bpCCS (Circular Consensus Sequencing) ModeSingle-pass Sequencing
Recommended Sequencing Depth≥ 6Gb for simple environments
≥ 12Gb for complex environments
≥ 10Gb for simple environments≥ 10Gb for simple environments(Note:Integrated analysis of second-generation and third-generation sequencing data was performed.)
Analysis Options
(Choose among these three)
Standard Analysis(Assembly-based)Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, eggNOG, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
MetaPhlAn4-HUMAnN3(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( MetaCyc, KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--
Kraken2(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--

Sequencing and Analysis

Recommended data outputs and analysis examples are provided for reference only. For detailed information, please contact us to discuss your project-specific analysis requirements.

Sequencing PlatformIllumina NovaSeq PlatformPacBio Revio PlatformOxford Nanopore Platform
Sequencing StrategyPair-end 150 bpCCS (Circular Consensus Sequencing) ModeSingle-pass Sequencing
Recommended Sequencing Depth≥ 6Gb for simple environments
≥ 12Gb for complex environments
≥ 10Gb for simple environments≥ 10Gb for simple environments(Note:Integrated analysis of second-generation and third-generation sequencing data was performed.)
Analysis Options
(Choose among these three)
Standard Analysis(Assembly-based)Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, eggNOG, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
MetaPhlAn4-HUMAnN3(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( MetaCyc, KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--
Kraken2(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--

Sequencing and Analysis

Recommended data outputs and analysis examples are provided for reference only. For detailed information, please contact us to discuss your project-specific analysis requirements.

Sequencing PlatformIllumina NovaSeq PlatformPacBio Revio PlatformOxford Nanopore Platform
Sequencing StrategyPair-end 150 bpCCS (Circular Consensus Sequencing) ModeSingle-pass Sequencing
Recommended Sequencing Depth≥ 6Gb for simple environments
≥ 12Gb for complex environments
≥ 10Gb for simple environments≥ 10Gb for simple environments(Note:Integrated analysis of second-generation and third-generation sequencing data was performed.)
Analysis Options
(Choose among these three)
Standard Analysis(Assembly-based)Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, eggNOG, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
MetaPhlAn4-HUMAnN3(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( MetaCyc, KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--
Kraken2(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--

Sequencing and Analysis

Recommended data outputs and analysis examples are provided for reference only. For detailed information, please contact us to discuss your project-specific analysis requirements.

Sequencing PlatformIllumina NovaSeq PlatformPacBio Revio PlatformOxford Nanopore Platform
Sequencing StrategyPair-end 150 bpCCS (Circular Consensus Sequencing) ModeSingle-pass Sequencing
Recommended Sequencing Depth≥ 6Gb for simple environments
≥ 12Gb for complex environments
≥ 10Gb for simple environments≥ 10Gb for simple environments(Note:Integrated analysis of second-generation and third-generation sequencing data was performed.)
Analysis Options
(Choose among these three)
Standard Analysis(Assembly-based)Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, eggNOG, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
MetaPhlAn4-HUMAnN3(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( MetaCyc, KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--
Kraken2(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--

Specifications

Sample Requirements

The quantities listed are provided for reference only. Please download the Sample Requirements for detailed guidance, or contact us to discuss your project-specific requirements.

ServiceSample TypeAmountVolumeConcentrationPurity
Shotgun Metagenomic SequencingTotal DNA≥ 100 ng≥20 μL≥ 5 ng/μLOD260/280 = 1.8-2.0.no degradation, no contamination Fragments longer than 500 bp
Shotgun Metagenomic Sequencing(PacBio)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
Shotgun Metagenomic Sequencing(Nanopore)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
HMW = High Molecular Weight; NC/QC = NanoDrop concentration/Qubit concentration

Sample Requirements

The quantities listed are provided for reference only. Please download the Sample Requirements for detailed guidance, or contact us to discuss your project-specific requirements.

ServiceSample TypeAmountVolumeConcentrationPurity
Shotgun Metagenomic SequencingTotal DNA≥ 100 ng≥20 μL≥ 5 ng/μLOD260/280 = 1.8-2.0.no degradation, no contamination Fragments longer than 500 bp
Shotgun Metagenomic Sequencing(PacBio)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
Shotgun Metagenomic Sequencing(Nanopore)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
HMW = High Molecular Weight; NC/QC = NanoDrop concentration/Qubit concentration

Sample Requirements

The quantities listed are provided for reference only. Please download the Sample Requirements for detailed guidance, or contact us to discuss your project-specific requirements.

ServiceSample TypeAmountVolumeConcentrationPurity
Shotgun Metagenomic SequencingTotal DNA≥ 100 ng≥20 μL≥ 5 ng/μLOD260/280 = 1.8-2.0.no degradation, no contamination Fragments longer than 500 bp
Shotgun Metagenomic Sequencing(PacBio)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
Shotgun Metagenomic Sequencing(Nanopore)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
HMW = High Molecular Weight; NC/QC = NanoDrop concentration/Qubit concentration

Sample Requirements

The quantities listed are provided for reference only. Please download the Sample Requirements for detailed guidance, or contact us to discuss your project-specific requirements.

ServiceSample TypeAmountVolumeConcentrationPurity
Shotgun Metagenomic SequencingTotal DNA≥ 100 ng≥20 μL≥ 5 ng/μLOD260/280 = 1.8-2.0.no degradation, no contamination Fragments longer than 500 bp
Shotgun Metagenomic Sequencing(PacBio)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
Shotgun Metagenomic Sequencing(Nanopore)HMW genomic DNA
(metagenomics)
≥5 μg≥50 μL≥80 ng/μLOD260/280=1.7~2.5.
OD260/230=1.1~2.6.
NC/QC=0.95~4.00
Fragments should be ≥10K
HMW = High Molecular Weight; NC/QC = NanoDrop concentration/Qubit concentration

Sequencing and Analysis

Recommended data outputs and analysis examples are provided for reference only. For detailed information, please contact us to discuss your project-specific analysis requirements.

Sequencing PlatformIllumina NovaSeq PlatformPacBio Revio PlatformOxford Nanopore Platform
Sequencing StrategyPair-end 150 bpCCS (Circular Consensus Sequencing) ModeSingle-pass Sequencing
Recommended Sequencing Depth≥ 6Gb for simple environments
≥ 12Gb for complex environments
≥ 10Gb for simple environments≥ 10Gb for simple environments(Note:Integrated analysis of second-generation and third-generation sequencing data was performed.)
Analysis Options
(Choose among these three)
Standard Analysis(Assembly-based)Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, eggNOG, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
MetaPhlAn4-HUMAnN3(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( MetaCyc, KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--
Kraken2(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--

Sequencing and Analysis

Recommended data outputs and analysis examples are provided for reference only. For detailed information, please contact us to discuss your project-specific analysis requirements.

Sequencing PlatformIllumina NovaSeq PlatformPacBio Revio PlatformOxford Nanopore Platform
Sequencing StrategyPair-end 150 bpCCS (Circular Consensus Sequencing) ModeSingle-pass Sequencing
Recommended Sequencing Depth≥ 6Gb for simple environments
≥ 12Gb for complex environments
≥ 10Gb for simple environments≥ 10Gb for simple environments(Note:Integrated analysis of second-generation and third-generation sequencing data was performed.)
Analysis Options
(Choose among these three)
Standard Analysis(Assembly-based)Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, eggNOG, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
MetaPhlAn4-HUMAnN3(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( MetaCyc, KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--
Kraken2(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--

Sequencing and Analysis

Recommended data outputs and analysis examples are provided for reference only. For detailed information, please contact us to discuss your project-specific analysis requirements.

Sequencing PlatformIllumina NovaSeq PlatformPacBio Revio PlatformOxford Nanopore Platform
Sequencing StrategyPair-end 150 bpCCS (Circular Consensus Sequencing) ModeSingle-pass Sequencing
Recommended Sequencing Depth≥ 6Gb for simple environments
≥ 12Gb for complex environments
≥ 10Gb for simple environments≥ 10Gb for simple environments(Note:Integrated analysis of second-generation and third-generation sequencing data was performed.)
Analysis Options
(Choose among these three)
Standard Analysis(Assembly-based)Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, eggNOG, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
MetaPhlAn4-HUMAnN3(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( MetaCyc, KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--
Kraken2(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--

Sequencing and Analysis

Recommended data outputs and analysis examples are provided for reference only. For detailed information, please contact us to discuss your project-specific analysis requirements.

Sequencing PlatformIllumina NovaSeq PlatformPacBio Revio PlatformOxford Nanopore Platform
Sequencing StrategyPair-end 150 bpCCS (Circular Consensus Sequencing) ModeSingle-pass Sequencing
Recommended Sequencing Depth≥ 6Gb for simple environments
≥ 12Gb for complex environments
≥ 10Gb for simple environments≥ 10Gb for simple environments(Note:Integrated analysis of second-generation and third-generation sequencing data was performed.)
Analysis Options
(Choose among these three)
Standard Analysis(Assembly-based)Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, eggNOG, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
Data quality control (host contamination removal if required)
Metagenome Assembly
Gene Prediction
Taxonomy Annotation
Function Annotation (KEGG, GO, CAZY…etc)
Alpha and Beta Diversity Analyses
Antibiotic Resistance Gene and Mobile Genetic Elements
Annotation and Analyses
MetaPhlAn4-HUMAnN3(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( MetaCyc, KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--
Kraken2(Reads-Mapping Based)Data quality control (host contamination removal if required)
Taxonomy Annotation
Function Annotation ( KEGG, eggNOG, GO…etc)
Alpha and Beta Diversity Analyses
Differential analysis between groups of species and function.
--

Resources

Example Analysis Output

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Taxonomic Composition

Summarise microbial community composition across samples using taxonomic abundance profiles.

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ARG Taxonomy Association

Explore relationships between antimicrobial resistance genes and associated microbial taxa.

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Beta Diversity PCoA

Visualise differences in microbial community structure across samples or groups.

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Krona Taxonomy View

Explore interactive taxonomic classification results across microbial community samples.

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Taxa Heatmap

Compare abundance patterns of annotated taxa across samples and experimental groups.

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Mobile Element Overview

Visualise mobile genetic element patterns across samples or annotated genomic regions.

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1/1
Taxonomic Composition

Summarise microbial community composition across samples using taxonomic abundance profiles.

Image
Image
1/1
ARG Taxonomy Association

Explore relationships between antimicrobial resistance genes and associated microbial taxa.

Image
Image
1/1
Beta Diversity PCoA

Visualise differences in microbial community structure across samples or groups.

Image
Image
1/1
Krona Taxonomy View

Explore interactive taxonomic classification results across microbial community samples.

Image
Image
1/1
Taxa Heatmap

Compare abundance patterns of annotated taxa across samples and experimental groups.

Image
Image
1/1
Mobile Element Overview

Visualise mobile genetic element patterns across samples or annotated genomic regions.

Image
Image
1/1
Taxonomic Composition

Summarise microbial community composition across samples using taxonomic abundance profiles.

Image
Image
1/1
ARG Taxonomy Association

Explore relationships between antimicrobial resistance genes and associated microbial taxa.

Image
Image
1/1
Beta Diversity PCoA

Visualise differences in microbial community structure across samples or groups.

Image
Image
1/1
Krona Taxonomy View

Explore interactive taxonomic classification results across microbial community samples.

Image
Image
1/1
Taxa Heatmap

Compare abundance patterns of annotated taxa across samples and experimental groups.

Image
Image
1/1
Mobile Element Overview

Visualise mobile genetic element patterns across samples or annotated genomic regions.

Image
Image
1/1
Taxonomic Composition

Summarise microbial community composition across samples using taxonomic abundance profiles.

Image
Image
1/1
ARG Taxonomy Association

Explore relationships between antimicrobial resistance genes and associated microbial taxa.

Image
Image
1/1
Beta Diversity PCoA

Visualise differences in microbial community structure across samples or groups.

Image
Image
1/1
Krona Taxonomy View

Explore interactive taxonomic classification results across microbial community samples.

Image
Image
1/1
Taxa Heatmap

Compare abundance patterns of annotated taxa across samples and experimental groups.

Image
Image
1/1
Mobile Element Overview

Visualise mobile genetic element patterns across samples or annotated genomic regions.

Webinars

Decoding Microbial Communities: Sequencing Solutions for Microbiome Research

Explore the latest approaches for studying microbial communities using amplicon sequencing, metagenomics, and metatranscriptomics. This webinar will highlight how these technologies can reveal microbial diversity, function, and interactions across human, environmental, and industrial ecosystems.

Learn More
(Decoding Microbial Communities: Sequencing Solutions for Microbiome Research)
Decoding Microbial Communities: Sequencing Solutions for Microbiome Research

Explore the latest approaches for studying microbial communities using amplicon sequencing, metagenomics, and metatranscriptomics. This webinar will highlight how these technologies can reveal microbial diversity, function, and interactions across human, environmental, and industrial ecosystems.

Learn More
(Decoding Microbial Communities: Sequencing Solutions for Microbiome Research)
Decoding Microbial Communities: Sequencing Solutions for Microbiome Research

Explore the latest approaches for studying microbial communities using amplicon sequencing, metagenomics, and metatranscriptomics. This webinar will highlight how these technologies can reveal microbial diversity, function, and interactions across human, environmental, and industrial ecosystems.

Learn More
(Decoding Microbial Communities: Sequencing Solutions for Microbiome Research)
Decoding Microbial Communities: Sequencing Solutions for Microbiome Research

Explore the latest approaches for studying microbial communities using amplicon sequencing, metagenomics, and metatranscriptomics. This webinar will highlight how these technologies can reveal microbial diversity, function, and interactions across human, environmental, and industrial ecosystems.

Learn More
(Decoding Microbial Communities: Sequencing Solutions for Microbiome Research)

Explore Microbiome Insights

Access webinars, brochures and case studies covering sequencing technologies, study planning and data interpretation.
View Webinar Library
(Explore Microbiome Insights)
View Webinar Library
(Explore Microbiome Insights)
Background
Background

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