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Novogene
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  • 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

    Metagenomics

    • Shotgun Metagenomics Sequencing
    • Amplicon Sequencing

    Transcriptomics

    • mRNA Sequencing
    • Swift & Express mRNA Sequencing New!
    • Full-Length Transcriptome Sequencing
    • Prokaryotic RNA Sequencing
    • Metatranscriptome Sequencing
    • Total RNA Sequencing
    • Small RNA Sequencing (sRNA‑seq)
    • Whole Transcriptome Sequencing

    Single Cell & Spatial Omics

    • 10x Single Cell Gene Expression
    • Illumina PIP-seq Single Cell 3’ RNA Sequencing New!
    • Spatial Transcriptomics Sequencing New!

    Epigenomics

    • Whole Genome Bisulfite Sequencing (WGBS)
    • Enzymatic Methylation Sequencing
    • Directed Methylation Sequencing (DM-Seq) New!
    • RNA Immunoprecipitation Sequencing (RIP-seq)
    • Chromatin Immunoprecipitation Sequencing (ChIP-seq)
    • Cleavage Under Targets & Tagmentation (CUT&Tag) New!
    • Assay for Transposase-Accessible Chromatin with Sequencing (ATAC-seq)
    • Reduced Representation Bisulfite Sequencing (RRBS)

    Proteomics

    • Quantitative Proteomics New!
    • PTM Proteomics New!
    • Olink Proteomics New!

    Metabolomics

    • Untargeted Metabolomics

    Premade Library

    • Sequencing Only on Illumina Sequencer
    • Sequencing Only on Ultima Sequencer
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    • Cancer Research
    • Immuno-oncology
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    • Drug Discovery and Development
    • Rare and Complex Diseases
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    • mRNA Sequencing
    • Illumina Lane Sequencing

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Services
mRNA SequencingSwift & Express mRNA SequencingTotal RNA SequencingHuman Whole Genome SequencingWhole Exome Sequencing10x Single Cell Gene ExpressionIllumina PIP-seq Single Cell 3’ RNA SequencingSpatial Transcriptomics SequencingWhole Genome Bisulfite Sequencing (WGBS)Quantitative ProteomicsUntargeted MetabolomicsShotgun Metagenomics SequencingMetatranscriptome SequencingSequencing Only on Illumina SequencerSequencing Only on Ultima SequencerFull-Length Transcriptome SequencingChromatin Immunoprecipitation Sequencing (ChIP-seq)
Company
About UsOur LocationsNews & EventsCareers
Contact Us
Contact Us
Service Support
Automated Delivery Platform (Falcon)Bioinformatics Analysis Tool (NovoMagic)Customer Service System (CSS)
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Copyright © 2026 Novogene Corporation Inc. All rights reserved. For Research Use Only.
    • Cart
    • Quote
    • Inquiry
    • Cart
    • Quote
    • Inquiry
Novogene
  • Novogene
  • 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

    Metagenomics

    • Shotgun Metagenomics Sequencing
    • Amplicon Sequencing

    Transcriptomics

    • mRNA Sequencing
    • Swift & Express mRNA Sequencing New!
    • Full-Length Transcriptome Sequencing
    • Prokaryotic RNA Sequencing
    • Metatranscriptome Sequencing
    • Total RNA Sequencing
    • Small RNA Sequencing (sRNA‑seq)
    • Whole Transcriptome Sequencing

    Single Cell & Spatial Omics

    • 10x Single Cell Gene Expression
    • Illumina PIP-seq Single Cell 3’ RNA Sequencing New!
    • Spatial Transcriptomics Sequencing New!

    Epigenomics

    • Whole Genome Bisulfite Sequencing (WGBS)
    • Enzymatic Methylation Sequencing
    • Directed Methylation Sequencing (DM-Seq) New!
    • RNA Immunoprecipitation Sequencing (RIP-seq)
    • Chromatin Immunoprecipitation Sequencing (ChIP-seq)
    • Cleavage Under Targets & Tagmentation (CUT&Tag) New!
    • Assay for Transposase-Accessible Chromatin with Sequencing (ATAC-seq)
    • Reduced Representation Bisulfite Sequencing (RRBS)

    Proteomics

    • Quantitative Proteomics New!
    • PTM Proteomics New!
    • Olink Proteomics New!

    Metabolomics

    • Untargeted Metabolomics

    Premade Library

    • Sequencing Only on Illumina Sequencer
    • Sequencing Only on Ultima Sequencer
  • PromotionsPromotions
    • Platforms
    • Service & Support
    • Automated Delivery Platform (Falcon)
    • Bioinformatics Analysis Tool (NovoMagic)
    • Customer Service System (CSS)
    • Case Study
    • Blog
    • Webinar
    • Brochure
    • Cancer Research
    • Immuno-oncology
    • Agrigenomics
    • Environment
    • Food Science
    • Human Microbiome
    • Plant and Animal Microbiome
    • Drug Discovery and Development
    • Rare and Complex Diseases
    • About Us
    • Our Locations
    • News & Events
    • Careers
  • Contact UsContact Us
    • mRNA Sequencing
    • Illumina Lane Sequencing

ServicesServices menu

CompanyCompany menu

Contact UsContact Us menu

Service SupportService Support menu

Services
mRNA SequencingSwift & Express mRNA SequencingTotal RNA SequencingHuman Whole Genome SequencingWhole Exome Sequencing10x Single Cell Gene ExpressionIllumina PIP-seq Single Cell 3’ RNA SequencingSpatial Transcriptomics SequencingWhole Genome Bisulfite Sequencing (WGBS)Quantitative ProteomicsUntargeted MetabolomicsShotgun Metagenomics SequencingMetatranscriptome SequencingSequencing Only on Illumina SequencerSequencing Only on Ultima SequencerFull-Length Transcriptome SequencingChromatin Immunoprecipitation Sequencing (ChIP-seq)
Company
About UsOur LocationsNews & EventsCareers
Contact Us
Contact Us
Service Support
Automated Delivery Platform (Falcon)Bioinformatics Analysis Tool (NovoMagic)Customer Service System (CSS)
LinkedInLinkedIn hoverYouTubeYouTube hoverXX hoverMetaMeta hoverInstagramInstagram hover
Copyright © 2026 Novogene Corporation Inc. All rights reserved. For Research Use Only.
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Prokaryotic RNA Sequencing

OverviewOverview
BenefitsBenefits
ApplicationsApplications
SpecificationsSpecifications
ResourcesResources

Prokaryotic RNA sequencing employs cutting-edge next-generation sequencing (NGS) technology to systematically profile the transcriptome of prokaryotic organisms, capturing both coding and non-coding RNA transcripts. By utilizing strand-specific RNA library construction, this approach ensures accurate measurement of transcript expression, delivering reliable and precise data.


At Novogene, the advanced Illumina NovaSeq platforms are employed for cDNA library preparation and sequencing. Utilizing paired-end 150-base-pair (150 bp) protocols, these platforms consistently generate high-quality, high-fidelity short-read data. With extensive experience and significant sequencing capacity, Novogene offers a comprehensive and customizable suite of services designed to address diverse and complex research requirements.

Advantages of Novogene's Prokaryotic RNA Sequencing Services

Extensive ExpertiseExtensive Expertise
Extensive Expertise

With a proven track record of delivering more than 1 million RNA-seq samples per year, Novogene is a trusted leader in genomic sequencing.

Extensive Expertise
Extensive Expertise

With a proven track record of delivering more than 1 million RNA-seq samples per year, Novogene is a trusted leader in genomic sequencing.

Tailored SolutionsTailored Solutions
Tailored Solutions

Benefit from customized workflows and specialized analyses designed to address the unique demands of complex or challenging samples.

Tailored Solutions
Tailored Solutions

Benefit from customized workflows and specialized analyses designed to address the unique demands of complex or challenging samples.

Exceptional Data Quality
Exceptional Data Quality

Consistently outperforming industry benchmarks, Novogene ensures high-fidelity and accurate data to meet your research objectives.

Exceptional Data QualityExceptional Data Quality
Exceptional Data Quality

Consistently outperforming industry benchmarks, Novogene ensures high-fidelity and accurate data to meet your research objectives.

Advantages of Novogene's Prokaryotic RNA Sequencing Services

Extensive ExpertiseExtensive Expertise
Extensive Expertise

With a proven track record of delivering more than 1 million RNA-seq samples per year, Novogene is a trusted leader in genomic sequencing.

Extensive Expertise
Extensive Expertise

With a proven track record of delivering more than 1 million RNA-seq samples per year, Novogene is a trusted leader in genomic sequencing.

Tailored SolutionsTailored Solutions
Tailored Solutions

Benefit from customized workflows and specialized analyses designed to address the unique demands of complex or challenging samples.

Tailored Solutions
Tailored Solutions

Benefit from customized workflows and specialized analyses designed to address the unique demands of complex or challenging samples.

Exceptional Data Quality
Exceptional Data Quality

Consistently outperforming industry benchmarks, Novogene ensures high-fidelity and accurate data to meet your research objectives.

Exceptional Data QualityExceptional Data Quality
Exceptional Data Quality

Consistently outperforming industry benchmarks, Novogene ensures high-fidelity and accurate data to meet your research objectives.

Applications of Prokaryotic RNA Sequencing Description

Prokaryotic RNA-seq offers a detailed understanding of gene expression and regulatory networks in bacteria and archaea. This powerful tool supports studies in microbial physiology, pathogenesis, and adaptive responses to stress, providing valuable insights into prokaryotic biology.

Environmental-Impact Analysis

Explore how environmental changes influence microbial biological functions and ecological roles.

Environmental-Impact Analysis

Explore how environmental changes influence microbial biological functions and ecological roles.

Stress-Response Mechanisms

Investigate microorganism physiological adaptations under various stress conditions to uncover survival strategies.

Stress-Response Mechanisms

Investigate microorganism physiological adaptations under various stress conditions to uncover survival strategies.

Trait-Differentiation Studies

Pinpoint key functional genes responsible for phenotypic variations or differential traits triggered by specific treatments.

Trait-Differentiation Studies

Pinpoint key functional genes responsible for phenotypic variations or differential traits triggered by specific treatments.

Applications of Prokaryotic RNA Sequencing Description

Prokaryotic RNA-seq offers a detailed understanding of gene expression and regulatory networks in bacteria and archaea. This powerful tool supports studies in microbial physiology, pathogenesis, and adaptive responses to stress, providing valuable insights into prokaryotic biology.

Environmental-Impact Analysis

Explore how environmental changes influence microbial biological functions and ecological roles.

Environmental-Impact Analysis

Explore how environmental changes influence microbial biological functions and ecological roles.

Stress-Response Mechanisms

Investigate microorganism physiological adaptations under various stress conditions to uncover survival strategies.

Stress-Response Mechanisms

Investigate microorganism physiological adaptations under various stress conditions to uncover survival strategies.

Trait-Differentiation Studies

Pinpoint key functional genes responsible for phenotypic variations or differential traits triggered by specific treatments.

Trait-Differentiation Studies

Pinpoint key functional genes responsible for phenotypic variations or differential traits triggered by specific treatments.

Specifications

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.

Library TypeSample TypeAmountRNA Integrity NumberPurity
Prokaryotic RNA LibraryTotal RNA≥ 500 ng≥ 6.0, smooth base lineA260/280 ≥ 2.0;
A260/230 ≥ 2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.

Library TypeSample TypeAmountRNA Integrity NumberPurity
Prokaryotic RNA LibraryTotal RNA≥ 500 ng≥ 6.0, smooth base lineA260/280 ≥ 2.0;
A260/230 ≥ 2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.

Library TypeSample TypeAmountRNA Integrity NumberPurity
Prokaryotic RNA LibraryTotal RNA≥ 500 ng≥ 6.0, smooth base lineA260/280 ≥ 2.0;
A260/230 ≥ 2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.

Library TypeSample TypeAmountRNA Integrity NumberPurity
Prokaryotic RNA LibraryTotal RNA≥ 500 ng≥ 6.0, smooth base lineA260/280 ≥ 2.0;
A260/230 ≥ 2.0

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina Sequencing System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 2Gb raw data per sample for the species with reference genome
Content of Data AnalysisData Quality Control
Alignment to Reference Genome
Gene Expression Analysis
Novel Transcript Prediction
Gene expression quantification & Differential expression analysis
Enrichment Analysis
Operon, Promoter and TSS/TTS Prediction
SD Sequence Prediction
Rho-independent Terminator Sequence Prediction
sRNA Secondary Structure Prediction
sRNA Targeted Gene Prediction

Novogene Prokaryotic RNA-seq Workflow

Our Prokaryotic RNA-seq workflow ensures high-quality results through a rigorous, step-by-step process:

Novogene Prokaryotic RNA-seq Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina Sequencing System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 2Gb raw data per sample for the species with reference genome
Content of Data AnalysisData Quality Control
Alignment to Reference Genome
Gene Expression Analysis
Novel Transcript Prediction
Gene expression quantification & Differential expression analysis
Enrichment Analysis
Operon, Promoter and TSS/TTS Prediction
SD Sequence Prediction
Rho-independent Terminator Sequence Prediction
sRNA Secondary Structure Prediction
sRNA Targeted Gene Prediction

Novogene Prokaryotic RNA-seq Workflow

Our Prokaryotic RNA-seq workflow ensures high-quality results through a rigorous, step-by-step process:

Novogene Prokaryotic RNA-seq Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina Sequencing System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 2Gb raw data per sample for the species with reference genome
Content of Data AnalysisData Quality Control
Alignment to Reference Genome
Gene Expression Analysis
Novel Transcript Prediction
Gene expression quantification & Differential expression analysis
Enrichment Analysis
Operon, Promoter and TSS/TTS Prediction
SD Sequence Prediction
Rho-independent Terminator Sequence Prediction
sRNA Secondary Structure Prediction
sRNA Targeted Gene Prediction

Novogene Prokaryotic RNA-seq Workflow

Our Prokaryotic RNA-seq workflow ensures high-quality results through a rigorous, step-by-step process:

Novogene Prokaryotic RNA-seq Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina Sequencing System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 2Gb raw data per sample for the species with reference genome
Content of Data AnalysisData Quality Control
Alignment to Reference Genome
Gene Expression Analysis
Novel Transcript Prediction
Gene expression quantification & Differential expression analysis
Enrichment Analysis
Operon, Promoter and TSS/TTS Prediction
SD Sequence Prediction
Rho-independent Terminator Sequence Prediction
sRNA Secondary Structure Prediction
sRNA Targeted Gene Prediction

Novogene Prokaryotic RNA-seq Workflow

Our Prokaryotic RNA-seq workflow ensures high-quality results through a rigorous, step-by-step process:

Novogene Prokaryotic RNA-seq Workflow

Specifications

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.

Library TypeSample TypeAmountRNA Integrity NumberPurity
Prokaryotic RNA LibraryTotal RNA≥ 500 ng≥ 6.0, smooth base lineA260/280 ≥ 2.0;
A260/230 ≥ 2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.

Library TypeSample TypeAmountRNA Integrity NumberPurity
Prokaryotic RNA LibraryTotal RNA≥ 500 ng≥ 6.0, smooth base lineA260/280 ≥ 2.0;
A260/230 ≥ 2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.

Library TypeSample TypeAmountRNA Integrity NumberPurity
Prokaryotic RNA LibraryTotal RNA≥ 500 ng≥ 6.0, smooth base lineA260/280 ≥ 2.0;
A260/230 ≥ 2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.

Library TypeSample TypeAmountRNA Integrity NumberPurity
Prokaryotic RNA LibraryTotal RNA≥ 500 ng≥ 6.0, smooth base lineA260/280 ≥ 2.0;
A260/230 ≥ 2.0

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina Sequencing System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 2Gb raw data per sample for the species with reference genome
Content of Data AnalysisData Quality Control
Alignment to Reference Genome
Gene Expression Analysis
Novel Transcript Prediction
Gene expression quantification & Differential expression analysis
Enrichment Analysis
Operon, Promoter and TSS/TTS Prediction
SD Sequence Prediction
Rho-independent Terminator Sequence Prediction
sRNA Secondary Structure Prediction
sRNA Targeted Gene Prediction

Novogene Prokaryotic RNA-seq Workflow

Our Prokaryotic RNA-seq workflow ensures high-quality results through a rigorous, step-by-step process:

Novogene Prokaryotic RNA-seq Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina Sequencing System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 2Gb raw data per sample for the species with reference genome
Content of Data AnalysisData Quality Control
Alignment to Reference Genome
Gene Expression Analysis
Novel Transcript Prediction
Gene expression quantification & Differential expression analysis
Enrichment Analysis
Operon, Promoter and TSS/TTS Prediction
SD Sequence Prediction
Rho-independent Terminator Sequence Prediction
sRNA Secondary Structure Prediction
sRNA Targeted Gene Prediction

Novogene Prokaryotic RNA-seq Workflow

Our Prokaryotic RNA-seq workflow ensures high-quality results through a rigorous, step-by-step process:

Novogene Prokaryotic RNA-seq Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina Sequencing System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 2Gb raw data per sample for the species with reference genome
Content of Data AnalysisData Quality Control
Alignment to Reference Genome
Gene Expression Analysis
Novel Transcript Prediction
Gene expression quantification & Differential expression analysis
Enrichment Analysis
Operon, Promoter and TSS/TTS Prediction
SD Sequence Prediction
Rho-independent Terminator Sequence Prediction
sRNA Secondary Structure Prediction
sRNA Targeted Gene Prediction

Novogene Prokaryotic RNA-seq Workflow

Our Prokaryotic RNA-seq workflow ensures high-quality results through a rigorous, step-by-step process:

Novogene Prokaryotic RNA-seq Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina Sequencing System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 2Gb raw data per sample for the species with reference genome
Content of Data AnalysisData Quality Control
Alignment to Reference Genome
Gene Expression Analysis
Novel Transcript Prediction
Gene expression quantification & Differential expression analysis
Enrichment Analysis
Operon, Promoter and TSS/TTS Prediction
SD Sequence Prediction
Rho-independent Terminator Sequence Prediction
sRNA Secondary Structure Prediction
sRNA Targeted Gene Prediction

Novogene Prokaryotic RNA-seq Workflow

Our Prokaryotic RNA-seq workflow ensures high-quality results through a rigorous, step-by-step process:

Novogene Prokaryotic RNA-seq Workflow

Resources

Image
Image
1/1
Inter-sample correlation heatmap

Inter-sample correlation heatmap visually displays the similarity of expression profiles or data patterns between different samples via color intensity, helping assess data reproducibility and sample grouping consistency.

Image
Image
1/1
Principal component analysis (PCA) plot

Principal component analysis (PCA) result visually reduces high-dimensional data complexity, revealing overall patterns, sample clustering, and potential outliers to assess data quality and biological variability.

Image
Image
1/1
Co-expression Venn diagram

The Co-expression Venn diagram intuitively identifies common and unique coexpressed gene sets across multiple experimental groups, facilitating the discovery of shared or specific coexpression patterns.

Image
Image
1/1
Differentially expressed gene volcano plot

The volcano plot visualizes fold change and statistical significance (p-value) of DEGs, enabling rapid identification of significantly up- or downregulated genes.

Image
Image
1/1
Differentially expressed gene clustering heatmap

This heatmap clusters differentially expressed genes by their expression patterns, visually highlighting similarities/differences in gene expression across samples to facilitate the identification of functionally related gene groups.

Image
Image
1/1
Enrichment analysis scatter plot

This scatter plot visualizes enrichment analysis results by mapping enriched terms (e.g., pathways/GO terms) against metrics like enrichment score and significance, enabling intuitive identification of key functional categories associated with target genes.

Image
Image
1/1
Protein–protein interaction network

By constructing protein interaction networks, this analysis uncovers core functional modules, hub proteins, and molecular mechanisms underlying biological processes or diseases.

Image
Image
1/1
Inter-sample correlation heatmap

Inter-sample correlation heatmap visually displays the similarity of expression profiles or data patterns between different samples via color intensity, helping assess data reproducibility and sample grouping consistency.

Image
Image
1/1
Principal component analysis (PCA) plot

Principal component analysis (PCA) result visually reduces high-dimensional data complexity, revealing overall patterns, sample clustering, and potential outliers to assess data quality and biological variability.

Image
Image
1/1
Co-expression Venn diagram

The Co-expression Venn diagram intuitively identifies common and unique coexpressed gene sets across multiple experimental groups, facilitating the discovery of shared or specific coexpression patterns.

Image
Image
1/1
Differentially expressed gene volcano plot

The volcano plot visualizes fold change and statistical significance (p-value) of DEGs, enabling rapid identification of significantly up- or downregulated genes.

Image
Image
1/1
Differentially expressed gene clustering heatmap

This heatmap clusters differentially expressed genes by their expression patterns, visually highlighting similarities/differences in gene expression across samples to facilitate the identification of functionally related gene groups.

Image
Image
1/1
Enrichment analysis scatter plot

This scatter plot visualizes enrichment analysis results by mapping enriched terms (e.g., pathways/GO terms) against metrics like enrichment score and significance, enabling intuitive identification of key functional categories associated with target genes.

Image
Image
1/1
Protein–protein interaction network

By constructing protein interaction networks, this analysis uncovers core functional modules, hub proteins, and molecular mechanisms underlying biological processes or diseases.

Resources

Image
Image
1/1
Inter-sample correlation heatmap

Inter-sample correlation heatmap visually displays the similarity of expression profiles or data patterns between different samples via color intensity, helping assess data reproducibility and sample grouping consistency.

Image
Image
1/1
Principal component analysis (PCA) plot

Principal component analysis (PCA) result visually reduces high-dimensional data complexity, revealing overall patterns, sample clustering, and potential outliers to assess data quality and biological variability.

Image
Image
1/1
Co-expression Venn diagram

The Co-expression Venn diagram intuitively identifies common and unique coexpressed gene sets across multiple experimental groups, facilitating the discovery of shared or specific coexpression patterns.

Image
Image
1/1
Differentially expressed gene volcano plot

The volcano plot visualizes fold change and statistical significance (p-value) of DEGs, enabling rapid identification of significantly up- or downregulated genes.

Image
Image
1/1
Differentially expressed gene clustering heatmap

This heatmap clusters differentially expressed genes by their expression patterns, visually highlighting similarities/differences in gene expression across samples to facilitate the identification of functionally related gene groups.

Image
Image
1/1
Enrichment analysis scatter plot

This scatter plot visualizes enrichment analysis results by mapping enriched terms (e.g., pathways/GO terms) against metrics like enrichment score and significance, enabling intuitive identification of key functional categories associated with target genes.

Image
Image
1/1
Protein–protein interaction network

By constructing protein interaction networks, this analysis uncovers core functional modules, hub proteins, and molecular mechanisms underlying biological processes or diseases.

Image
Image
1/1
Inter-sample correlation heatmap

Inter-sample correlation heatmap visually displays the similarity of expression profiles or data patterns between different samples via color intensity, helping assess data reproducibility and sample grouping consistency.

Image
Image
1/1
Principal component analysis (PCA) plot

Principal component analysis (PCA) result visually reduces high-dimensional data complexity, revealing overall patterns, sample clustering, and potential outliers to assess data quality and biological variability.

Image
Image
1/1
Co-expression Venn diagram

The Co-expression Venn diagram intuitively identifies common and unique coexpressed gene sets across multiple experimental groups, facilitating the discovery of shared or specific coexpression patterns.

Image
Image
1/1
Differentially expressed gene volcano plot

The volcano plot visualizes fold change and statistical significance (p-value) of DEGs, enabling rapid identification of significantly up- or downregulated genes.

Image
Image
1/1
Differentially expressed gene clustering heatmap

This heatmap clusters differentially expressed genes by their expression patterns, visually highlighting similarities/differences in gene expression across samples to facilitate the identification of functionally related gene groups.

Image
Image
1/1
Enrichment analysis scatter plot

This scatter plot visualizes enrichment analysis results by mapping enriched terms (e.g., pathways/GO terms) against metrics like enrichment score and significance, enabling intuitive identification of key functional categories associated with target genes.

Image
Image
1/1
Protein–protein interaction network

By constructing protein interaction networks, this analysis uncovers core functional modules, hub proteins, and molecular mechanisms underlying biological processes or diseases.

More Services

Microbial de novo Sequencing
(Microbial de novo Sequencing)
Microbial de novo Sequencing
(Microbial de novo Sequencing)
Quantitative Proteomics
(Quantitative Proteomics)
Quantitative Proteomics
(Quantitative Proteomics)
Untargeted Metabolomics
(Untargeted Metabolomics)
Untargeted Metabolomics
(Untargeted Metabolomics)

More Services

Microbial de novo Sequencing
(Microbial de novo Sequencing)
Microbial de novo Sequencing
(Microbial de novo Sequencing)
Quantitative Proteomics
(Quantitative Proteomics)
Quantitative Proteomics
(Quantitative Proteomics)
Untargeted Metabolomics
(Untargeted Metabolomics)
Untargeted Metabolomics
(Untargeted Metabolomics)
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Our platform offers tailored solutions for your unique experimental needs, ensuring a seamless experience from project design to data delivery.

 
 
 
 
 
 
 
 
 
 
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Prokaryotic RNA Sequencing

OverviewOverview
BenefitsBenefits
ApplicationsApplications
SpecificationsSpecifications
ResourcesResources

Prokaryotic RNA sequencing employs cutting-edge next-generation sequencing (NGS) technology to systematically profile the transcriptome of prokaryotic organisms, capturing both coding and non-coding RNA transcripts. By utilizing strand-specific RNA library construction, this approach ensures accurate measurement of transcript expression, delivering reliable and precise data.


At Novogene, the advanced Illumina NovaSeq platforms are employed for cDNA library preparation and sequencing. Utilizing paired-end 150-base-pair (150 bp) protocols, these platforms consistently generate high-quality, high-fidelity short-read data. With extensive experience and significant sequencing capacity, Novogene offers a comprehensive and customizable suite of services designed to address diverse and complex research requirements.

Advantages of Novogene's Prokaryotic RNA Sequencing Services

Extensive ExpertiseExtensive Expertise
Extensive Expertise

With a proven track record of delivering more than 1 million RNA-seq samples per year, Novogene is a trusted leader in genomic sequencing.

Extensive Expertise
Extensive Expertise

With a proven track record of delivering more than 1 million RNA-seq samples per year, Novogene is a trusted leader in genomic sequencing.

Tailored SolutionsTailored Solutions
Tailored Solutions

Benefit from customized workflows and specialized analyses designed to address the unique demands of complex or challenging samples.

Tailored Solutions
Tailored Solutions

Benefit from customized workflows and specialized analyses designed to address the unique demands of complex or challenging samples.

Exceptional Data Quality
Exceptional Data Quality

Consistently outperforming industry benchmarks, Novogene ensures high-fidelity and accurate data to meet your research objectives.

Exceptional Data QualityExceptional Data Quality
Exceptional Data Quality

Consistently outperforming industry benchmarks, Novogene ensures high-fidelity and accurate data to meet your research objectives.

Advantages of Novogene's Prokaryotic RNA Sequencing Services

Extensive ExpertiseExtensive Expertise
Extensive Expertise

With a proven track record of delivering more than 1 million RNA-seq samples per year, Novogene is a trusted leader in genomic sequencing.

Extensive Expertise
Extensive Expertise

With a proven track record of delivering more than 1 million RNA-seq samples per year, Novogene is a trusted leader in genomic sequencing.

Tailored SolutionsTailored Solutions
Tailored Solutions

Benefit from customized workflows and specialized analyses designed to address the unique demands of complex or challenging samples.

Tailored Solutions
Tailored Solutions

Benefit from customized workflows and specialized analyses designed to address the unique demands of complex or challenging samples.

Exceptional Data Quality
Exceptional Data Quality

Consistently outperforming industry benchmarks, Novogene ensures high-fidelity and accurate data to meet your research objectives.

Exceptional Data QualityExceptional Data Quality
Exceptional Data Quality

Consistently outperforming industry benchmarks, Novogene ensures high-fidelity and accurate data to meet your research objectives.

Applications of Prokaryotic RNA Sequencing Description

Prokaryotic RNA-seq offers a detailed understanding of gene expression and regulatory networks in bacteria and archaea. This powerful tool supports studies in microbial physiology, pathogenesis, and adaptive responses to stress, providing valuable insights into prokaryotic biology.

Environmental-Impact Analysis

Explore how environmental changes influence microbial biological functions and ecological roles.

Environmental-Impact Analysis

Explore how environmental changes influence microbial biological functions and ecological roles.

Stress-Response Mechanisms

Investigate microorganism physiological adaptations under various stress conditions to uncover survival strategies.

Stress-Response Mechanisms

Investigate microorganism physiological adaptations under various stress conditions to uncover survival strategies.

Trait-Differentiation Studies

Pinpoint key functional genes responsible for phenotypic variations or differential traits triggered by specific treatments.

Trait-Differentiation Studies

Pinpoint key functional genes responsible for phenotypic variations or differential traits triggered by specific treatments.

Applications of Prokaryotic RNA Sequencing Description

Prokaryotic RNA-seq offers a detailed understanding of gene expression and regulatory networks in bacteria and archaea. This powerful tool supports studies in microbial physiology, pathogenesis, and adaptive responses to stress, providing valuable insights into prokaryotic biology.

Environmental-Impact Analysis

Explore how environmental changes influence microbial biological functions and ecological roles.

Environmental-Impact Analysis

Explore how environmental changes influence microbial biological functions and ecological roles.

Stress-Response Mechanisms

Investigate microorganism physiological adaptations under various stress conditions to uncover survival strategies.

Stress-Response Mechanisms

Investigate microorganism physiological adaptations under various stress conditions to uncover survival strategies.

Trait-Differentiation Studies

Pinpoint key functional genes responsible for phenotypic variations or differential traits triggered by specific treatments.

Trait-Differentiation Studies

Pinpoint key functional genes responsible for phenotypic variations or differential traits triggered by specific treatments.

Specifications

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.

Library TypeSample TypeAmountRNA Integrity NumberPurity
Prokaryotic RNA LibraryTotal RNA≥ 500 ng≥ 6.0, smooth base lineA260/280 ≥ 2.0;
A260/230 ≥ 2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.

Library TypeSample TypeAmountRNA Integrity NumberPurity
Prokaryotic RNA LibraryTotal RNA≥ 500 ng≥ 6.0, smooth base lineA260/280 ≥ 2.0;
A260/230 ≥ 2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.

Library TypeSample TypeAmountRNA Integrity NumberPurity
Prokaryotic RNA LibraryTotal RNA≥ 500 ng≥ 6.0, smooth base lineA260/280 ≥ 2.0;
A260/230 ≥ 2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.

Library TypeSample TypeAmountRNA Integrity NumberPurity
Prokaryotic RNA LibraryTotal RNA≥ 500 ng≥ 6.0, smooth base lineA260/280 ≥ 2.0;
A260/230 ≥ 2.0

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina Sequencing System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 2Gb raw data per sample for the species with reference genome
Content of Data AnalysisData Quality Control
Alignment to Reference Genome
Gene Expression Analysis
Novel Transcript Prediction
Gene expression quantification & Differential expression analysis
Enrichment Analysis
Operon, Promoter and TSS/TTS Prediction
SD Sequence Prediction
Rho-independent Terminator Sequence Prediction
sRNA Secondary Structure Prediction
sRNA Targeted Gene Prediction

Novogene Prokaryotic RNA-seq Workflow

Our Prokaryotic RNA-seq workflow ensures high-quality results through a rigorous, step-by-step process:

Novogene Prokaryotic RNA-seq Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina Sequencing System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 2Gb raw data per sample for the species with reference genome
Content of Data AnalysisData Quality Control
Alignment to Reference Genome
Gene Expression Analysis
Novel Transcript Prediction
Gene expression quantification & Differential expression analysis
Enrichment Analysis
Operon, Promoter and TSS/TTS Prediction
SD Sequence Prediction
Rho-independent Terminator Sequence Prediction
sRNA Secondary Structure Prediction
sRNA Targeted Gene Prediction

Novogene Prokaryotic RNA-seq Workflow

Our Prokaryotic RNA-seq workflow ensures high-quality results through a rigorous, step-by-step process:

Novogene Prokaryotic RNA-seq Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina Sequencing System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 2Gb raw data per sample for the species with reference genome
Content of Data AnalysisData Quality Control
Alignment to Reference Genome
Gene Expression Analysis
Novel Transcript Prediction
Gene expression quantification & Differential expression analysis
Enrichment Analysis
Operon, Promoter and TSS/TTS Prediction
SD Sequence Prediction
Rho-independent Terminator Sequence Prediction
sRNA Secondary Structure Prediction
sRNA Targeted Gene Prediction

Novogene Prokaryotic RNA-seq Workflow

Our Prokaryotic RNA-seq workflow ensures high-quality results through a rigorous, step-by-step process:

Novogene Prokaryotic RNA-seq Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina Sequencing System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 2Gb raw data per sample for the species with reference genome
Content of Data AnalysisData Quality Control
Alignment to Reference Genome
Gene Expression Analysis
Novel Transcript Prediction
Gene expression quantification & Differential expression analysis
Enrichment Analysis
Operon, Promoter and TSS/TTS Prediction
SD Sequence Prediction
Rho-independent Terminator Sequence Prediction
sRNA Secondary Structure Prediction
sRNA Targeted Gene Prediction

Novogene Prokaryotic RNA-seq Workflow

Our Prokaryotic RNA-seq workflow ensures high-quality results through a rigorous, step-by-step process:

Novogene Prokaryotic RNA-seq Workflow

Specifications

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.

Library TypeSample TypeAmountRNA Integrity NumberPurity
Prokaryotic RNA LibraryTotal RNA≥ 500 ng≥ 6.0, smooth base lineA260/280 ≥ 2.0;
A260/230 ≥ 2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.

Library TypeSample TypeAmountRNA Integrity NumberPurity
Prokaryotic RNA LibraryTotal RNA≥ 500 ng≥ 6.0, smooth base lineA260/280 ≥ 2.0;
A260/230 ≥ 2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.

Library TypeSample TypeAmountRNA Integrity NumberPurity
Prokaryotic RNA LibraryTotal RNA≥ 500 ng≥ 6.0, smooth base lineA260/280 ≥ 2.0;
A260/230 ≥ 2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.

Library TypeSample TypeAmountRNA Integrity NumberPurity
Prokaryotic RNA LibraryTotal RNA≥ 500 ng≥ 6.0, smooth base lineA260/280 ≥ 2.0;
A260/230 ≥ 2.0

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina Sequencing System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 2Gb raw data per sample for the species with reference genome
Content of Data AnalysisData Quality Control
Alignment to Reference Genome
Gene Expression Analysis
Novel Transcript Prediction
Gene expression quantification & Differential expression analysis
Enrichment Analysis
Operon, Promoter and TSS/TTS Prediction
SD Sequence Prediction
Rho-independent Terminator Sequence Prediction
sRNA Secondary Structure Prediction
sRNA Targeted Gene Prediction

Novogene Prokaryotic RNA-seq Workflow

Our Prokaryotic RNA-seq workflow ensures high-quality results through a rigorous, step-by-step process:

Novogene Prokaryotic RNA-seq Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina Sequencing System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 2Gb raw data per sample for the species with reference genome
Content of Data AnalysisData Quality Control
Alignment to Reference Genome
Gene Expression Analysis
Novel Transcript Prediction
Gene expression quantification & Differential expression analysis
Enrichment Analysis
Operon, Promoter and TSS/TTS Prediction
SD Sequence Prediction
Rho-independent Terminator Sequence Prediction
sRNA Secondary Structure Prediction
sRNA Targeted Gene Prediction

Novogene Prokaryotic RNA-seq Workflow

Our Prokaryotic RNA-seq workflow ensures high-quality results through a rigorous, step-by-step process:

Novogene Prokaryotic RNA-seq Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina Sequencing System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 2Gb raw data per sample for the species with reference genome
Content of Data AnalysisData Quality Control
Alignment to Reference Genome
Gene Expression Analysis
Novel Transcript Prediction
Gene expression quantification & Differential expression analysis
Enrichment Analysis
Operon, Promoter and TSS/TTS Prediction
SD Sequence Prediction
Rho-independent Terminator Sequence Prediction
sRNA Secondary Structure Prediction
sRNA Targeted Gene Prediction

Novogene Prokaryotic RNA-seq Workflow

Our Prokaryotic RNA-seq workflow ensures high-quality results through a rigorous, step-by-step process:

Novogene Prokaryotic RNA-seq Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina Sequencing System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 2Gb raw data per sample for the species with reference genome
Content of Data AnalysisData Quality Control
Alignment to Reference Genome
Gene Expression Analysis
Novel Transcript Prediction
Gene expression quantification & Differential expression analysis
Enrichment Analysis
Operon, Promoter and TSS/TTS Prediction
SD Sequence Prediction
Rho-independent Terminator Sequence Prediction
sRNA Secondary Structure Prediction
sRNA Targeted Gene Prediction

Novogene Prokaryotic RNA-seq Workflow

Our Prokaryotic RNA-seq workflow ensures high-quality results through a rigorous, step-by-step process:

Novogene Prokaryotic RNA-seq Workflow

Resources

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Inter-sample correlation heatmap

Inter-sample correlation heatmap visually displays the similarity of expression profiles or data patterns between different samples via color intensity, helping assess data reproducibility and sample grouping consistency.

Image
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Principal component analysis (PCA) plot

Principal component analysis (PCA) result visually reduces high-dimensional data complexity, revealing overall patterns, sample clustering, and potential outliers to assess data quality and biological variability.

Image
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Co-expression Venn diagram

The Co-expression Venn diagram intuitively identifies common and unique coexpressed gene sets across multiple experimental groups, facilitating the discovery of shared or specific coexpression patterns.

Image
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Differentially expressed gene volcano plot

The volcano plot visualizes fold change and statistical significance (p-value) of DEGs, enabling rapid identification of significantly up- or downregulated genes.

Image
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1/1
Differentially expressed gene clustering heatmap

This heatmap clusters differentially expressed genes by their expression patterns, visually highlighting similarities/differences in gene expression across samples to facilitate the identification of functionally related gene groups.

Image
Image
1/1
Enrichment analysis scatter plot

This scatter plot visualizes enrichment analysis results by mapping enriched terms (e.g., pathways/GO terms) against metrics like enrichment score and significance, enabling intuitive identification of key functional categories associated with target genes.

Image
Image
1/1
Protein–protein interaction network

By constructing protein interaction networks, this analysis uncovers core functional modules, hub proteins, and molecular mechanisms underlying biological processes or diseases.

Image
Image
1/1
Inter-sample correlation heatmap

Inter-sample correlation heatmap visually displays the similarity of expression profiles or data patterns between different samples via color intensity, helping assess data reproducibility and sample grouping consistency.

Image
Image
1/1
Principal component analysis (PCA) plot

Principal component analysis (PCA) result visually reduces high-dimensional data complexity, revealing overall patterns, sample clustering, and potential outliers to assess data quality and biological variability.

Image
Image
1/1
Co-expression Venn diagram

The Co-expression Venn diagram intuitively identifies common and unique coexpressed gene sets across multiple experimental groups, facilitating the discovery of shared or specific coexpression patterns.

Image
Image
1/1
Differentially expressed gene volcano plot

The volcano plot visualizes fold change and statistical significance (p-value) of DEGs, enabling rapid identification of significantly up- or downregulated genes.

Image
Image
1/1
Differentially expressed gene clustering heatmap

This heatmap clusters differentially expressed genes by their expression patterns, visually highlighting similarities/differences in gene expression across samples to facilitate the identification of functionally related gene groups.

Image
Image
1/1
Enrichment analysis scatter plot

This scatter plot visualizes enrichment analysis results by mapping enriched terms (e.g., pathways/GO terms) against metrics like enrichment score and significance, enabling intuitive identification of key functional categories associated with target genes.

Image
Image
1/1
Protein–protein interaction network

By constructing protein interaction networks, this analysis uncovers core functional modules, hub proteins, and molecular mechanisms underlying biological processes or diseases.

Resources

Image
Image
1/1
Inter-sample correlation heatmap

Inter-sample correlation heatmap visually displays the similarity of expression profiles or data patterns between different samples via color intensity, helping assess data reproducibility and sample grouping consistency.

Image
Image
1/1
Principal component analysis (PCA) plot

Principal component analysis (PCA) result visually reduces high-dimensional data complexity, revealing overall patterns, sample clustering, and potential outliers to assess data quality and biological variability.

Image
Image
1/1
Co-expression Venn diagram

The Co-expression Venn diagram intuitively identifies common and unique coexpressed gene sets across multiple experimental groups, facilitating the discovery of shared or specific coexpression patterns.

Image
Image
1/1
Differentially expressed gene volcano plot

The volcano plot visualizes fold change and statistical significance (p-value) of DEGs, enabling rapid identification of significantly up- or downregulated genes.

Image
Image
1/1
Differentially expressed gene clustering heatmap

This heatmap clusters differentially expressed genes by their expression patterns, visually highlighting similarities/differences in gene expression across samples to facilitate the identification of functionally related gene groups.

Image
Image
1/1
Enrichment analysis scatter plot

This scatter plot visualizes enrichment analysis results by mapping enriched terms (e.g., pathways/GO terms) against metrics like enrichment score and significance, enabling intuitive identification of key functional categories associated with target genes.

Image
Image
1/1
Protein–protein interaction network

By constructing protein interaction networks, this analysis uncovers core functional modules, hub proteins, and molecular mechanisms underlying biological processes or diseases.

Image
Image
1/1
Inter-sample correlation heatmap

Inter-sample correlation heatmap visually displays the similarity of expression profiles or data patterns between different samples via color intensity, helping assess data reproducibility and sample grouping consistency.

Image
Image
1/1
Principal component analysis (PCA) plot

Principal component analysis (PCA) result visually reduces high-dimensional data complexity, revealing overall patterns, sample clustering, and potential outliers to assess data quality and biological variability.

Image
Image
1/1
Co-expression Venn diagram

The Co-expression Venn diagram intuitively identifies common and unique coexpressed gene sets across multiple experimental groups, facilitating the discovery of shared or specific coexpression patterns.

Image
Image
1/1
Differentially expressed gene volcano plot

The volcano plot visualizes fold change and statistical significance (p-value) of DEGs, enabling rapid identification of significantly up- or downregulated genes.

Image
Image
1/1
Differentially expressed gene clustering heatmap

This heatmap clusters differentially expressed genes by their expression patterns, visually highlighting similarities/differences in gene expression across samples to facilitate the identification of functionally related gene groups.

Image
Image
1/1
Enrichment analysis scatter plot

This scatter plot visualizes enrichment analysis results by mapping enriched terms (e.g., pathways/GO terms) against metrics like enrichment score and significance, enabling intuitive identification of key functional categories associated with target genes.

Image
Image
1/1
Protein–protein interaction network

By constructing protein interaction networks, this analysis uncovers core functional modules, hub proteins, and molecular mechanisms underlying biological processes or diseases.

More Services

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(Microbial de novo Sequencing)
Microbial de novo Sequencing
(Microbial de novo Sequencing)
Quantitative Proteomics
(Quantitative Proteomics)
Quantitative Proteomics
(Quantitative Proteomics)
Untargeted Metabolomics
(Untargeted Metabolomics)
Untargeted Metabolomics
(Untargeted Metabolomics)

More Services

Microbial de novo Sequencing
(Microbial de novo Sequencing)
Microbial de novo Sequencing
(Microbial de novo Sequencing)
Quantitative Proteomics
(Quantitative Proteomics)
Quantitative Proteomics
(Quantitative Proteomics)
Untargeted Metabolomics
(Untargeted Metabolomics)
Untargeted Metabolomics
(Untargeted Metabolomics)
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