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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!
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    • Olink ProteomicsNew!
    Epigenomics
    • DNA Methylation SequencingUpdated!
    • Chromatin Immunoprecipitation Sequencing (ChIP-seq)
    • RNA Immunoprecipitation Sequencing (RIP-seq)
    Metabolomics
    • Untargeted MetabolomicsComing Soon!
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    • 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)
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    • Immuno-oncology
    • Agrigenomics
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    • Plant and Animal Microbiome
    • Drug Discovery and Development
    • Rare and Complex Diseases
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  • Contact UsContact Us
    • Amplicon Sequencing
    • Whole Plasmid 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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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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Total RNA Sequencing

rRNA-depleted transcriptome sequencing for profiling coding RNA and long non-coding RNA across biological samples and conditions.
OverviewOverview
BenefitsBenefits
ApplicationsApplications
SpecificationsSpecifications
ResourcesResources

Total RNA sequencing, also known as Total RNA-seq, uses ribosomal RNA depletion to profile a broader transcriptome than poly(A)-selected mRNA-seq. This approach captures both messenger RNA and long non-coding RNA, supporting analysis of gene expression, transcript diversity and regulatory RNA activity across biological conditions.


Novogene Europe supports rRNA-depleted Total RNA-seq projects with high-throughput sequencing and bioinformatics workflows for expression quantification, differential expression analysis, lncRNA identification, functional enrichment and regulatory interpretation. The service is suitable for researchers who want to study coding and long non-coding transcript changes within the same RNA-seq experiment.

Service Highlights

rRNA-depleted Transcriptome Profiling
rRNA-depleted Transcriptome Profiling

Use ribosomal RNA depletion to profile coding transcripts and long non-coding RNAs within the same RNA-seq experiment, supporting broader transcriptome analysis.

rRNA-depleted Transcriptome Profiling
rRNA-depleted Transcriptome Profiling

Use ribosomal RNA depletion to profile coding transcripts and long non-coding RNAs within the same RNA-seq experiment, supporting broader transcriptome analysis.

Coding and lncRNA Analysis
Coding and lncRNA Analysis

Analyse both mRNA and lncRNA expression to explore transcriptome regulation, expression changes and coding–non-coding RNA relationships.

Coding and lncRNA Analysis
Coding and lncRNA Analysis

Analyse both mRNA and lncRNA expression to explore transcriptome regulation, expression changes and coding–non-coding RNA relationships.

Expression and Functional Analysis
Expression and Functional Analysis

Bioinformatics workflows support expression quantification, differential expression analysis, functional enrichment and pathway-level interpretation.

Expression and Functional Analysis
Expression and Functional Analysis

Bioinformatics workflows support expression quantification, differential expression analysis, functional enrichment and pathway-level interpretation.

Regulatory Target Insight
Regulatory Target Insight

lncRNA target prediction and regulatory analysis can support investigation of potential relationships between long non-coding RNAs and gene expression changes.

Regulatory Target Insight
Regulatory Target Insight

lncRNA target prediction and regulatory analysis can support investigation of potential relationships between long non-coding RNAs and gene expression changes.

Service Highlights

rRNA-depleted Transcriptome Profiling
rRNA-depleted Transcriptome Profiling

Use ribosomal RNA depletion to profile coding transcripts and long non-coding RNAs within the same RNA-seq experiment, supporting broader transcriptome analysis.

rRNA-depleted Transcriptome Profiling
rRNA-depleted Transcriptome Profiling

Use ribosomal RNA depletion to profile coding transcripts and long non-coding RNAs within the same RNA-seq experiment, supporting broader transcriptome analysis.

Coding and lncRNA Analysis
Coding and lncRNA Analysis

Analyse both mRNA and lncRNA expression to explore transcriptome regulation, expression changes and coding–non-coding RNA relationships.

Coding and lncRNA Analysis
Coding and lncRNA Analysis

Analyse both mRNA and lncRNA expression to explore transcriptome regulation, expression changes and coding–non-coding RNA relationships.

Expression and Functional Analysis
Expression and Functional Analysis

Bioinformatics workflows support expression quantification, differential expression analysis, functional enrichment and pathway-level interpretation.

Expression and Functional Analysis
Expression and Functional Analysis

Bioinformatics workflows support expression quantification, differential expression analysis, functional enrichment and pathway-level interpretation.

Regulatory Target Insight
Regulatory Target Insight

lncRNA target prediction and regulatory analysis can support investigation of potential relationships between long non-coding RNAs and gene expression changes.

Regulatory Target Insight
Regulatory Target Insight

lncRNA target prediction and regulatory analysis can support investigation of potential relationships between long non-coding RNAs and gene expression changes.

Applications

Coding and Non-coding RNA Regulation

Total RNA-seq helps researchers study mRNA and lncRNA expression together, supporting investigation of coding–non-coding RNA regulation across biological conditions.

Coding and Non-coding RNA Regulation

Total RNA-seq helps researchers study mRNA and lncRNA expression together, supporting investigation of coding–non-coding RNA regulation across biological conditions.

Disease and Treatment Response Research

rRNA-depleted RNA-seq can support studies of disease mechanisms, treatment response and biological change by comparing transcript profiles across sample groups.

Disease and Treatment Response Research

rRNA-depleted RNA-seq can support studies of disease mechanisms, treatment response and biological change by comparing transcript profiles across sample groups.

lncRNA Discovery and Functional Insight

Total RNA-seq supports identification and analysis of long non-coding RNAs, helping researchers explore their potential roles in gene regulation and cellular processes.

lncRNA Discovery and Functional Insight

Total RNA-seq supports identification and analysis of long non-coding RNAs, helping researchers explore their potential roles in gene regulation and cellular processes.

Pathway and Regulatory Network Analysis

Transcriptome data can be used to investigate affected pathways, regulatory relationships and biological processes linked to differential RNA expression.

Pathway and Regulatory Network Analysis

Transcriptome data can be used to investigate affected pathways, regulatory relationships and biological processes linked to differential RNA expression.

Applications

Coding and Non-coding RNA Regulation

Total RNA-seq helps researchers study mRNA and lncRNA expression together, supporting investigation of coding–non-coding RNA regulation across biological conditions.

Coding and Non-coding RNA Regulation

Total RNA-seq helps researchers study mRNA and lncRNA expression together, supporting investigation of coding–non-coding RNA regulation across biological conditions.

Disease and Treatment Response Research

rRNA-depleted RNA-seq can support studies of disease mechanisms, treatment response and biological change by comparing transcript profiles across sample groups.

Disease and Treatment Response Research

rRNA-depleted RNA-seq can support studies of disease mechanisms, treatment response and biological change by comparing transcript profiles across sample groups.

lncRNA Discovery and Functional Insight

Total RNA-seq supports identification and analysis of long non-coding RNAs, helping researchers explore their potential roles in gene regulation and cellular processes.

lncRNA Discovery and Functional Insight

Total RNA-seq supports identification and analysis of long non-coding RNAs, helping researchers explore their potential roles in gene regulation and cellular processes.

Pathway and Regulatory Network Analysis

Transcriptome data can be used to investigate affected pathways, regulatory relationships and biological processes linked to differential RNA expression.

Pathway and Regulatory Network Analysis

Transcriptome data can be used to investigate affected pathways, regulatory relationships and biological processes linked to differential RNA expression.

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.

Library TypeSample TypeAmountRNA Integrity NumberPurity (NanoDrop)
lncRNA LibraryTotal RNA≥ 300 ng≥5.5, with flat baselineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Exosomal lncRNA LibraryExosomal RNA≥ 5 ngFragments between
25-200nt, FU*>10,
with flat baseline
OD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Dual RNA libraryTotal RNA≥ 1 μg≥ 6.5, with flat base lineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination

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.

Library TypeSample TypeAmountRNA Integrity NumberPurity (NanoDrop)
lncRNA LibraryTotal RNA≥ 300 ng≥5.5, with flat baselineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Exosomal lncRNA LibraryExosomal RNA≥ 5 ngFragments between
25-200nt, FU*>10,
with flat baseline
OD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Dual RNA libraryTotal RNA≥ 1 μg≥ 6.5, with flat base lineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination

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.

Library TypeSample TypeAmountRNA Integrity NumberPurity (NanoDrop)
lncRNA LibraryTotal RNA≥ 300 ng≥5.5, with flat baselineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Exosomal lncRNA LibraryExosomal RNA≥ 5 ngFragments between
25-200nt, FU*>10,
with flat baseline
OD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Dual RNA libraryTotal RNA≥ 1 μg≥ 6.5, with flat base lineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination

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.

Library TypeSample TypeAmountRNA Integrity NumberPurity (NanoDrop)
lncRNA LibraryTotal RNA≥ 300 ng≥5.5, with flat baselineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Exosomal lncRNA LibraryExosomal RNA≥ 5 ngFragments between
25-200nt, FU*>10,
with flat baseline
OD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Dual RNA libraryTotal RNA≥ 1 μg≥ 6.5, with flat base lineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination

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 X Plus
Recommended Data Output≥ 40 million read pairs per sample
Recommended Sequencing Depth≥ 40 million read pairs per sample for species with reference genome
Standard Data AnalysisData Quality ControlStructural Analysis (Alternative Splicing & Variation Calling)lncRNA Identification & AnnotationExpression Quantification & Differential Expression ProfilingFunctional Enrichment AnalysisProtein-Protein Interaction (PPI) analysislncRNA Target Gene Prediction

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 X Plus
Recommended Data Output≥ 40 million read pairs per sample
Recommended Sequencing Depth≥ 40 million read pairs per sample for species with reference genome
Standard Data AnalysisData Quality ControlStructural Analysis (Alternative Splicing & Variation Calling)lncRNA Identification & AnnotationExpression Quantification & Differential Expression ProfilingFunctional Enrichment AnalysisProtein-Protein Interaction (PPI) analysislncRNA Target Gene Prediction

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 X Plus
Recommended Data Output≥ 40 million read pairs per sample
Recommended Sequencing Depth≥ 40 million read pairs per sample for species with reference genome
Standard Data AnalysisData Quality ControlStructural Analysis (Alternative Splicing & Variation Calling)lncRNA Identification & AnnotationExpression Quantification & Differential Expression ProfilingFunctional Enrichment AnalysisProtein-Protein Interaction (PPI) analysislncRNA Target Gene Prediction

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 X Plus
Recommended Data Output≥ 40 million read pairs per sample
Recommended Sequencing Depth≥ 40 million read pairs per sample for species with reference genome
Standard Data AnalysisData Quality ControlStructural Analysis (Alternative Splicing & Variation Calling)lncRNA Identification & AnnotationExpression Quantification & Differential Expression ProfilingFunctional Enrichment AnalysisProtein-Protein Interaction (PPI) analysislncRNA Target Gene Prediction

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.

Library TypeSample TypeAmountRNA Integrity NumberPurity (NanoDrop)
lncRNA LibraryTotal RNA≥ 300 ng≥5.5, with flat baselineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Exosomal lncRNA LibraryExosomal RNA≥ 5 ngFragments between
25-200nt, FU*>10,
with flat baseline
OD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Dual RNA libraryTotal RNA≥ 1 μg≥ 6.5, with flat base lineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination

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.

Library TypeSample TypeAmountRNA Integrity NumberPurity (NanoDrop)
lncRNA LibraryTotal RNA≥ 300 ng≥5.5, with flat baselineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Exosomal lncRNA LibraryExosomal RNA≥ 5 ngFragments between
25-200nt, FU*>10,
with flat baseline
OD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Dual RNA libraryTotal RNA≥ 1 μg≥ 6.5, with flat base lineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination

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.

Library TypeSample TypeAmountRNA Integrity NumberPurity (NanoDrop)
lncRNA LibraryTotal RNA≥ 300 ng≥5.5, with flat baselineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Exosomal lncRNA LibraryExosomal RNA≥ 5 ngFragments between
25-200nt, FU*>10,
with flat baseline
OD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Dual RNA libraryTotal RNA≥ 1 μg≥ 6.5, with flat base lineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination

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.

Library TypeSample TypeAmountRNA Integrity NumberPurity (NanoDrop)
lncRNA LibraryTotal RNA≥ 300 ng≥5.5, with flat baselineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Exosomal lncRNA LibraryExosomal RNA≥ 5 ngFragments between
25-200nt, FU*>10,
with flat baseline
OD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Dual RNA libraryTotal RNA≥ 1 μg≥ 6.5, with flat base lineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination

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 X Plus
Recommended Data Output≥ 40 million read pairs per sample
Recommended Sequencing Depth≥ 40 million read pairs per sample for species with reference genome
Standard Data AnalysisData Quality ControlStructural Analysis (Alternative Splicing & Variation Calling)lncRNA Identification & AnnotationExpression Quantification & Differential Expression ProfilingFunctional Enrichment AnalysisProtein-Protein Interaction (PPI) analysislncRNA Target Gene Prediction

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 X Plus
Recommended Data Output≥ 40 million read pairs per sample
Recommended Sequencing Depth≥ 40 million read pairs per sample for species with reference genome
Standard Data AnalysisData Quality ControlStructural Analysis (Alternative Splicing & Variation Calling)lncRNA Identification & AnnotationExpression Quantification & Differential Expression ProfilingFunctional Enrichment AnalysisProtein-Protein Interaction (PPI) analysislncRNA Target Gene Prediction

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 X Plus
Recommended Data Output≥ 40 million read pairs per sample
Recommended Sequencing Depth≥ 40 million read pairs per sample for species with reference genome
Standard Data AnalysisData Quality ControlStructural Analysis (Alternative Splicing & Variation Calling)lncRNA Identification & AnnotationExpression Quantification & Differential Expression ProfilingFunctional Enrichment AnalysisProtein-Protein Interaction (PPI) analysislncRNA Target Gene Prediction

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 X Plus
Recommended Data Output≥ 40 million read pairs per sample
Recommended Sequencing Depth≥ 40 million read pairs per sample for species with reference genome
Standard Data AnalysisData Quality ControlStructural Analysis (Alternative Splicing & Variation Calling)lncRNA Identification & AnnotationExpression Quantification & Differential Expression ProfilingFunctional Enrichment AnalysisProtein-Protein Interaction (PPI) analysislncRNA Target Gene Prediction

Resources

Example Analysis Output

Image
Image
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lncRNA Coding Potential

Identify candidate lncRNAs by integrating coding-potential assessment across multiple prediction tools.

Image
Image
1/1
lncRNA Feature Comparison

Compare transcript features such as length and expression patterns between lncRNAs and mRNAs.

Image
Image
1/1
Expression Distribution

Review expression level distributions across samples to assess overall RNA abundance profiles and consistency.

Image
Image
1/1
Expression Volcano Plot

Highlight significantly changed genes or transcripts based on fold change and statistical significance.

Image
Image
1/1
Expression Heatmap

Visualise differential expression patterns across samples and experimental groups.

Image
Image
1/1
lncRNA Coding Potential

Identify candidate lncRNAs by integrating coding-potential assessment across multiple prediction tools.

Image
Image
1/1
lncRNA Feature Comparison

Compare transcript features such as length and expression patterns between lncRNAs and mRNAs.

Image
Image
1/1
Expression Distribution

Review expression level distributions across samples to assess overall RNA abundance profiles and consistency.

Image
Image
1/1
Expression Volcano Plot

Highlight significantly changed genes or transcripts based on fold change and statistical significance.

Image
Image
1/1
Expression Heatmap

Visualise differential expression patterns across samples and experimental groups.

Image
Image
1/1
lncRNA Coding Potential

Identify candidate lncRNAs by integrating coding-potential assessment across multiple prediction tools.

Image
Image
1/1
lncRNA Feature Comparison

Compare transcript features such as length and expression patterns between lncRNAs and mRNAs.

Image
Image
1/1
Expression Distribution

Review expression level distributions across samples to assess overall RNA abundance profiles and consistency.

Image
Image
1/1
Expression Volcano Plot

Highlight significantly changed genes or transcripts based on fold change and statistical significance.

Image
Image
1/1
Expression Heatmap

Visualise differential expression patterns across samples and experimental groups.

Image
Image
1/1
lncRNA Coding Potential

Identify candidate lncRNAs by integrating coding-potential assessment across multiple prediction tools.

Image
Image
1/1
lncRNA Feature Comparison

Compare transcript features such as length and expression patterns between lncRNAs and mRNAs.

Image
Image
1/1
Expression Distribution

Review expression level distributions across samples to assess overall RNA abundance profiles and consistency.

Image
Image
1/1
Expression Volcano Plot

Highlight significantly changed genes or transcripts based on fold change and statistical significance.

Image
Image
1/1
Expression Heatmap

Visualise differential expression patterns across samples and experimental groups.

Webinars

ncRNA-seq Results Explained: What you can explore with non-coding RNA data

Learn how to navigate and interpret non-coding RNA sequencing (ncRNA-seq) data, including lncRNA-seq, small RNA-seq, and circRNA-seq. This webinar will provide an overview of analysis workflows, data visualisation approaches, and the tools needed to transform complex datasets into meaningful biological insights.

Learn More
(ncRNA-seq Results Explained: What you can explore with non-coding RNA data)
ncRNA-seq Results Explained: What you can explore with non-coding RNA data

Learn how to navigate and interpret non-coding RNA sequencing (ncRNA-seq) data, including lncRNA-seq, small RNA-seq, and circRNA-seq. This webinar will provide an overview of analysis workflows, data visualisation approaches, and the tools needed to transform complex datasets into meaningful biological insights.

Learn More
(ncRNA-seq Results Explained: What you can explore with non-coding RNA data)
ncRNA-seq Results Explained: What you can explore with non-coding RNA data

Learn how to navigate and interpret non-coding RNA sequencing (ncRNA-seq) data, including lncRNA-seq, small RNA-seq, and circRNA-seq. This webinar will provide an overview of analysis workflows, data visualisation approaches, and the tools needed to transform complex datasets into meaningful biological insights.

Learn More
(ncRNA-seq Results Explained: What you can explore with non-coding RNA data)
ncRNA-seq Results Explained: What you can explore with non-coding RNA data

Learn how to navigate and interpret non-coding RNA sequencing (ncRNA-seq) data, including lncRNA-seq, small RNA-seq, and circRNA-seq. This webinar will provide an overview of analysis workflows, data visualisation approaches, and the tools needed to transform complex datasets into meaningful biological insights.

Learn More
(ncRNA-seq Results Explained: What you can explore with non-coding RNA data)

Frequently Asked Questions

How does Total RNA-seq differ from mRNA-seq?

mRNA-seq usually targets poly(A)+ transcripts and primarily profiles protein-coding transcripts. In contrast, Total RNA-seq removes rRNA to capture both coding and non-coding RNAs. This method allows for a wider analysis of the transcriptome.

What research applications benefit most from Total RNA-seq?

Can researchers use Total RNA-seq for lncRNA analysis?

Which library preparation strategy does Novogene use for Total RNA-seq?

Is strand information preserved in Total RNA-seq?

Explore Transcriptomics Insights

Access webinars, brochures and case studies covering sequencing technologies, study planning and data interpretation.
View Webinar Library
(Explore Transcriptomics Insights)
View Webinar Library
(Explore Transcriptomics Insights)
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Total RNA Sequencing

rRNA-depleted transcriptome sequencing for profiling coding RNA and long non-coding RNA across biological samples and conditions.
OverviewOverview
BenefitsBenefits
ApplicationsApplications
SpecificationsSpecifications
ResourcesResources

Total RNA sequencing, also known as Total RNA-seq, uses ribosomal RNA depletion to profile a broader transcriptome than poly(A)-selected mRNA-seq. This approach captures both messenger RNA and long non-coding RNA, supporting analysis of gene expression, transcript diversity and regulatory RNA activity across biological conditions.


Novogene Europe supports rRNA-depleted Total RNA-seq projects with high-throughput sequencing and bioinformatics workflows for expression quantification, differential expression analysis, lncRNA identification, functional enrichment and regulatory interpretation. The service is suitable for researchers who want to study coding and long non-coding transcript changes within the same RNA-seq experiment.

Service Highlights

rRNA-depleted Transcriptome Profiling
rRNA-depleted Transcriptome Profiling

Use ribosomal RNA depletion to profile coding transcripts and long non-coding RNAs within the same RNA-seq experiment, supporting broader transcriptome analysis.

rRNA-depleted Transcriptome Profiling
rRNA-depleted Transcriptome Profiling

Use ribosomal RNA depletion to profile coding transcripts and long non-coding RNAs within the same RNA-seq experiment, supporting broader transcriptome analysis.

Coding and lncRNA Analysis
Coding and lncRNA Analysis

Analyse both mRNA and lncRNA expression to explore transcriptome regulation, expression changes and coding–non-coding RNA relationships.

Coding and lncRNA Analysis
Coding and lncRNA Analysis

Analyse both mRNA and lncRNA expression to explore transcriptome regulation, expression changes and coding–non-coding RNA relationships.

Expression and Functional Analysis
Expression and Functional Analysis

Bioinformatics workflows support expression quantification, differential expression analysis, functional enrichment and pathway-level interpretation.

Expression and Functional Analysis
Expression and Functional Analysis

Bioinformatics workflows support expression quantification, differential expression analysis, functional enrichment and pathway-level interpretation.

Regulatory Target Insight
Regulatory Target Insight

lncRNA target prediction and regulatory analysis can support investigation of potential relationships between long non-coding RNAs and gene expression changes.

Regulatory Target Insight
Regulatory Target Insight

lncRNA target prediction and regulatory analysis can support investigation of potential relationships between long non-coding RNAs and gene expression changes.

Service Highlights

rRNA-depleted Transcriptome Profiling
rRNA-depleted Transcriptome Profiling

Use ribosomal RNA depletion to profile coding transcripts and long non-coding RNAs within the same RNA-seq experiment, supporting broader transcriptome analysis.

rRNA-depleted Transcriptome Profiling
rRNA-depleted Transcriptome Profiling

Use ribosomal RNA depletion to profile coding transcripts and long non-coding RNAs within the same RNA-seq experiment, supporting broader transcriptome analysis.

Coding and lncRNA Analysis
Coding and lncRNA Analysis

Analyse both mRNA and lncRNA expression to explore transcriptome regulation, expression changes and coding–non-coding RNA relationships.

Coding and lncRNA Analysis
Coding and lncRNA Analysis

Analyse both mRNA and lncRNA expression to explore transcriptome regulation, expression changes and coding–non-coding RNA relationships.

Expression and Functional Analysis
Expression and Functional Analysis

Bioinformatics workflows support expression quantification, differential expression analysis, functional enrichment and pathway-level interpretation.

Expression and Functional Analysis
Expression and Functional Analysis

Bioinformatics workflows support expression quantification, differential expression analysis, functional enrichment and pathway-level interpretation.

Regulatory Target Insight
Regulatory Target Insight

lncRNA target prediction and regulatory analysis can support investigation of potential relationships between long non-coding RNAs and gene expression changes.

Regulatory Target Insight
Regulatory Target Insight

lncRNA target prediction and regulatory analysis can support investigation of potential relationships between long non-coding RNAs and gene expression changes.

Applications

Coding and Non-coding RNA Regulation

Total RNA-seq helps researchers study mRNA and lncRNA expression together, supporting investigation of coding–non-coding RNA regulation across biological conditions.

Coding and Non-coding RNA Regulation

Total RNA-seq helps researchers study mRNA and lncRNA expression together, supporting investigation of coding–non-coding RNA regulation across biological conditions.

Disease and Treatment Response Research

rRNA-depleted RNA-seq can support studies of disease mechanisms, treatment response and biological change by comparing transcript profiles across sample groups.

Disease and Treatment Response Research

rRNA-depleted RNA-seq can support studies of disease mechanisms, treatment response and biological change by comparing transcript profiles across sample groups.

lncRNA Discovery and Functional Insight

Total RNA-seq supports identification and analysis of long non-coding RNAs, helping researchers explore their potential roles in gene regulation and cellular processes.

lncRNA Discovery and Functional Insight

Total RNA-seq supports identification and analysis of long non-coding RNAs, helping researchers explore their potential roles in gene regulation and cellular processes.

Pathway and Regulatory Network Analysis

Transcriptome data can be used to investigate affected pathways, regulatory relationships and biological processes linked to differential RNA expression.

Pathway and Regulatory Network Analysis

Transcriptome data can be used to investigate affected pathways, regulatory relationships and biological processes linked to differential RNA expression.

Applications

Coding and Non-coding RNA Regulation

Total RNA-seq helps researchers study mRNA and lncRNA expression together, supporting investigation of coding–non-coding RNA regulation across biological conditions.

Coding and Non-coding RNA Regulation

Total RNA-seq helps researchers study mRNA and lncRNA expression together, supporting investigation of coding–non-coding RNA regulation across biological conditions.

Disease and Treatment Response Research

rRNA-depleted RNA-seq can support studies of disease mechanisms, treatment response and biological change by comparing transcript profiles across sample groups.

Disease and Treatment Response Research

rRNA-depleted RNA-seq can support studies of disease mechanisms, treatment response and biological change by comparing transcript profiles across sample groups.

lncRNA Discovery and Functional Insight

Total RNA-seq supports identification and analysis of long non-coding RNAs, helping researchers explore their potential roles in gene regulation and cellular processes.

lncRNA Discovery and Functional Insight

Total RNA-seq supports identification and analysis of long non-coding RNAs, helping researchers explore their potential roles in gene regulation and cellular processes.

Pathway and Regulatory Network Analysis

Transcriptome data can be used to investigate affected pathways, regulatory relationships and biological processes linked to differential RNA expression.

Pathway and Regulatory Network Analysis

Transcriptome data can be used to investigate affected pathways, regulatory relationships and biological processes linked to differential RNA expression.

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.

Library TypeSample TypeAmountRNA Integrity NumberPurity (NanoDrop)
lncRNA LibraryTotal RNA≥ 300 ng≥5.5, with flat baselineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Exosomal lncRNA LibraryExosomal RNA≥ 5 ngFragments between
25-200nt, FU*>10,
with flat baseline
OD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Dual RNA libraryTotal RNA≥ 1 μg≥ 6.5, with flat base lineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination

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.

Library TypeSample TypeAmountRNA Integrity NumberPurity (NanoDrop)
lncRNA LibraryTotal RNA≥ 300 ng≥5.5, with flat baselineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Exosomal lncRNA LibraryExosomal RNA≥ 5 ngFragments between
25-200nt, FU*>10,
with flat baseline
OD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Dual RNA libraryTotal RNA≥ 1 μg≥ 6.5, with flat base lineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination

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.

Library TypeSample TypeAmountRNA Integrity NumberPurity (NanoDrop)
lncRNA LibraryTotal RNA≥ 300 ng≥5.5, with flat baselineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Exosomal lncRNA LibraryExosomal RNA≥ 5 ngFragments between
25-200nt, FU*>10,
with flat baseline
OD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Dual RNA libraryTotal RNA≥ 1 μg≥ 6.5, with flat base lineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination

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.

Library TypeSample TypeAmountRNA Integrity NumberPurity (NanoDrop)
lncRNA LibraryTotal RNA≥ 300 ng≥5.5, with flat baselineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Exosomal lncRNA LibraryExosomal RNA≥ 5 ngFragments between
25-200nt, FU*>10,
with flat baseline
OD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Dual RNA libraryTotal RNA≥ 1 μg≥ 6.5, with flat base lineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination

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 X Plus
Recommended Data Output≥ 40 million read pairs per sample
Recommended Sequencing Depth≥ 40 million read pairs per sample for species with reference genome
Standard Data AnalysisData Quality ControlStructural Analysis (Alternative Splicing & Variation Calling)lncRNA Identification & AnnotationExpression Quantification & Differential Expression ProfilingFunctional Enrichment AnalysisProtein-Protein Interaction (PPI) analysislncRNA Target Gene Prediction

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 X Plus
Recommended Data Output≥ 40 million read pairs per sample
Recommended Sequencing Depth≥ 40 million read pairs per sample for species with reference genome
Standard Data AnalysisData Quality ControlStructural Analysis (Alternative Splicing & Variation Calling)lncRNA Identification & AnnotationExpression Quantification & Differential Expression ProfilingFunctional Enrichment AnalysisProtein-Protein Interaction (PPI) analysislncRNA Target Gene Prediction

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 X Plus
Recommended Data Output≥ 40 million read pairs per sample
Recommended Sequencing Depth≥ 40 million read pairs per sample for species with reference genome
Standard Data AnalysisData Quality ControlStructural Analysis (Alternative Splicing & Variation Calling)lncRNA Identification & AnnotationExpression Quantification & Differential Expression ProfilingFunctional Enrichment AnalysisProtein-Protein Interaction (PPI) analysislncRNA Target Gene Prediction

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 X Plus
Recommended Data Output≥ 40 million read pairs per sample
Recommended Sequencing Depth≥ 40 million read pairs per sample for species with reference genome
Standard Data AnalysisData Quality ControlStructural Analysis (Alternative Splicing & Variation Calling)lncRNA Identification & AnnotationExpression Quantification & Differential Expression ProfilingFunctional Enrichment AnalysisProtein-Protein Interaction (PPI) analysislncRNA Target Gene Prediction

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.

Library TypeSample TypeAmountRNA Integrity NumberPurity (NanoDrop)
lncRNA LibraryTotal RNA≥ 300 ng≥5.5, with flat baselineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Exosomal lncRNA LibraryExosomal RNA≥ 5 ngFragments between
25-200nt, FU*>10,
with flat baseline
OD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Dual RNA libraryTotal RNA≥ 1 μg≥ 6.5, with flat base lineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination

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.

Library TypeSample TypeAmountRNA Integrity NumberPurity (NanoDrop)
lncRNA LibraryTotal RNA≥ 300 ng≥5.5, with flat baselineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Exosomal lncRNA LibraryExosomal RNA≥ 5 ngFragments between
25-200nt, FU*>10,
with flat baseline
OD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Dual RNA libraryTotal RNA≥ 1 μg≥ 6.5, with flat base lineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination

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.

Library TypeSample TypeAmountRNA Integrity NumberPurity (NanoDrop)
lncRNA LibraryTotal RNA≥ 300 ng≥5.5, with flat baselineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Exosomal lncRNA LibraryExosomal RNA≥ 5 ngFragments between
25-200nt, FU*>10,
with flat baseline
OD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Dual RNA libraryTotal RNA≥ 1 μg≥ 6.5, with flat base lineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination

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.

Library TypeSample TypeAmountRNA Integrity NumberPurity (NanoDrop)
lncRNA LibraryTotal RNA≥ 300 ng≥5.5, with flat baselineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Exosomal lncRNA LibraryExosomal RNA≥ 5 ngFragments between
25-200nt, FU*>10,
with flat baseline
OD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination
Dual RNA libraryTotal RNA≥ 1 μg≥ 6.5, with flat base lineOD260/280≥2.0.
OD260/230≥2.0.
no degradation,
no contamination

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 X Plus
Recommended Data Output≥ 40 million read pairs per sample
Recommended Sequencing Depth≥ 40 million read pairs per sample for species with reference genome
Standard Data AnalysisData Quality ControlStructural Analysis (Alternative Splicing & Variation Calling)lncRNA Identification & AnnotationExpression Quantification & Differential Expression ProfilingFunctional Enrichment AnalysisProtein-Protein Interaction (PPI) analysislncRNA Target Gene Prediction

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 X Plus
Recommended Data Output≥ 40 million read pairs per sample
Recommended Sequencing Depth≥ 40 million read pairs per sample for species with reference genome
Standard Data AnalysisData Quality ControlStructural Analysis (Alternative Splicing & Variation Calling)lncRNA Identification & AnnotationExpression Quantification & Differential Expression ProfilingFunctional Enrichment AnalysisProtein-Protein Interaction (PPI) analysislncRNA Target Gene Prediction

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 X Plus
Recommended Data Output≥ 40 million read pairs per sample
Recommended Sequencing Depth≥ 40 million read pairs per sample for species with reference genome
Standard Data AnalysisData Quality ControlStructural Analysis (Alternative Splicing & Variation Calling)lncRNA Identification & AnnotationExpression Quantification & Differential Expression ProfilingFunctional Enrichment AnalysisProtein-Protein Interaction (PPI) analysislncRNA Target Gene Prediction

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 X Plus
Recommended Data Output≥ 40 million read pairs per sample
Recommended Sequencing Depth≥ 40 million read pairs per sample for species with reference genome
Standard Data AnalysisData Quality ControlStructural Analysis (Alternative Splicing & Variation Calling)lncRNA Identification & AnnotationExpression Quantification & Differential Expression ProfilingFunctional Enrichment AnalysisProtein-Protein Interaction (PPI) analysislncRNA Target Gene Prediction

Resources

Example Analysis Output

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lncRNA Coding Potential

Identify candidate lncRNAs by integrating coding-potential assessment across multiple prediction tools.

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lncRNA Feature Comparison

Compare transcript features such as length and expression patterns between lncRNAs and mRNAs.

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Expression Distribution

Review expression level distributions across samples to assess overall RNA abundance profiles and consistency.

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Expression Volcano Plot

Highlight significantly changed genes or transcripts based on fold change and statistical significance.

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Expression Heatmap

Visualise differential expression patterns across samples and experimental groups.

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lncRNA Coding Potential

Identify candidate lncRNAs by integrating coding-potential assessment across multiple prediction tools.

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lncRNA Feature Comparison

Compare transcript features such as length and expression patterns between lncRNAs and mRNAs.

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Expression Distribution

Review expression level distributions across samples to assess overall RNA abundance profiles and consistency.

Image
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Expression Volcano Plot

Highlight significantly changed genes or transcripts based on fold change and statistical significance.

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Expression Heatmap

Visualise differential expression patterns across samples and experimental groups.

Image
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lncRNA Coding Potential

Identify candidate lncRNAs by integrating coding-potential assessment across multiple prediction tools.

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lncRNA Feature Comparison

Compare transcript features such as length and expression patterns between lncRNAs and mRNAs.

Image
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Expression Distribution

Review expression level distributions across samples to assess overall RNA abundance profiles and consistency.

Image
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1/1
Expression Volcano Plot

Highlight significantly changed genes or transcripts based on fold change and statistical significance.

Image
Image
1/1
Expression Heatmap

Visualise differential expression patterns across samples and experimental groups.

Image
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1/1
lncRNA Coding Potential

Identify candidate lncRNAs by integrating coding-potential assessment across multiple prediction tools.

Image
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1/1
lncRNA Feature Comparison

Compare transcript features such as length and expression patterns between lncRNAs and mRNAs.

Image
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1/1
Expression Distribution

Review expression level distributions across samples to assess overall RNA abundance profiles and consistency.

Image
Image
1/1
Expression Volcano Plot

Highlight significantly changed genes or transcripts based on fold change and statistical significance.

Image
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1/1
Expression Heatmap

Visualise differential expression patterns across samples and experimental groups.

Webinars

ncRNA-seq Results Explained: What you can explore with non-coding RNA data

Learn how to navigate and interpret non-coding RNA sequencing (ncRNA-seq) data, including lncRNA-seq, small RNA-seq, and circRNA-seq. This webinar will provide an overview of analysis workflows, data visualisation approaches, and the tools needed to transform complex datasets into meaningful biological insights.

Learn More
(ncRNA-seq Results Explained: What you can explore with non-coding RNA data)
ncRNA-seq Results Explained: What you can explore with non-coding RNA data

Learn how to navigate and interpret non-coding RNA sequencing (ncRNA-seq) data, including lncRNA-seq, small RNA-seq, and circRNA-seq. This webinar will provide an overview of analysis workflows, data visualisation approaches, and the tools needed to transform complex datasets into meaningful biological insights.

Learn More
(ncRNA-seq Results Explained: What you can explore with non-coding RNA data)
ncRNA-seq Results Explained: What you can explore with non-coding RNA data

Learn how to navigate and interpret non-coding RNA sequencing (ncRNA-seq) data, including lncRNA-seq, small RNA-seq, and circRNA-seq. This webinar will provide an overview of analysis workflows, data visualisation approaches, and the tools needed to transform complex datasets into meaningful biological insights.

Learn More
(ncRNA-seq Results Explained: What you can explore with non-coding RNA data)
ncRNA-seq Results Explained: What you can explore with non-coding RNA data

Learn how to navigate and interpret non-coding RNA sequencing (ncRNA-seq) data, including lncRNA-seq, small RNA-seq, and circRNA-seq. This webinar will provide an overview of analysis workflows, data visualisation approaches, and the tools needed to transform complex datasets into meaningful biological insights.

Learn More
(ncRNA-seq Results Explained: What you can explore with non-coding RNA data)

Frequently Asked Questions

How does Total RNA-seq differ from mRNA-seq?

mRNA-seq usually targets poly(A)+ transcripts and primarily profiles protein-coding transcripts. In contrast, Total RNA-seq removes rRNA to capture both coding and non-coding RNAs. This method allows for a wider analysis of the transcriptome.

What research applications benefit most from Total RNA-seq?

Can researchers use Total RNA-seq for lncRNA analysis?

Which library preparation strategy does Novogene use for Total RNA-seq?

Is strand information preserved in Total RNA-seq?

Explore Transcriptomics Insights

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