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Novogene Europe
  • Novogene Europe
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    • Human Whole Genome Sequencing
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    • Olink ProteomicsNew!
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    • DNA Methylation SequencingUpdated!
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    • Untargeted MetabolomicsComing Soon!
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    • mRNA Sequencing
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    • Amplicon SequencingOrder Online!
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    • 10X Single Cell Gene Expression
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    • Amplicon Sequencing
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Human Whole Genome SequencingWhole Exome SequencingPlant and Animal Whole Genome SequencingPlant and Animal De novo SequencingDNA Methylation SequencingmRNA SequencingFull-Length Transcriptome SequencingWhole Transcriptome SequencingMetatranscriptome SequencingShotgun Metagenomics SequencingAmplicon SequencingWhole Plasmid Sequencing10X Single Cell Gene Expression10X Single Cell Immune Profiling10X Visium HD Spatial Gene ExpressionOlink ProteomicsUntargeted MetabolomicsAccredited & Validated Clinical Research Sequencing
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Copyright © 2026 Novogene Inc. All rights reserved.For Research Use Only. Not for Clinical Diagnostic Use.
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    • Cart
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Novogene Europe
  • Novogene Europe
  • Genomics
    • Human Whole Genome Sequencing
    • Whole Exome Sequencing
    • Plant and Animal Whole Genome Sequencing
    • Plant and Animal De novo Sequencing
    • Microbial Whole Genome Sequencing
    • Microbial De novo Sequencing
    • Whole Plasmid SequencingOrder Online!
    Proteomics
    • Olink ProteomicsNew!
    Epigenomics
    • DNA Methylation SequencingUpdated!
    • Chromatin Immunoprecipitation Sequencing (ChIP-seq)
    • RNA Immunoprecipitation Sequencing (RIP-seq)
    Metabolomics
    • Untargeted MetabolomicsComing Soon!
    Transcriptomics
    • mRNA Sequencing
    • Small RNA Sequencing (sRNA‑seq)
    • Circular RNA Sequencing (circRNA-seq)
    • Total RNA Sequencing
    • Whole Transcriptome Sequencing
    • Full-Length Transcriptome Sequencing
    • Prokaryotic RNA Sequencing
    • Metatranscriptome Sequencing
    Metagenomics
    • Amplicon SequencingOrder Online!
    • Shotgun Metagenomics Sequencing
    Single Cell & Spatial Omics
    • 10X Single Cell Gene Expression
    • 10X Single Cell Immune Profiling
    • 10X Visium HD Spatial Gene Expression
    Premade Library
    • Sequencing Only on Illumina® Sequencer
    • Sequencing Only on Element SequencerNew!
    • Sequencing Only on PacBio Sequencer
    Translational Research
    • Accredited & Validated Clinical Research Sequencing
  • PromotionsPromotions
    • Platforms
    • Automated Delivery Platform (Falcon)
    • Bioinformatics Analysis Tool (NovoMagic)
    • Customer Service System (CSS)
    • Customer Support
    • Webinars
    • Case Study
    • Blog
    • 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
    • News & Events
    • Careers
    • Our Locations
  • Contact UsContact Us
    • Amplicon Sequencing
    • Whole Plasmid Sequencing

ServicesServices menu

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SupportSupport menu

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

Transcriptome-wide profiling of RNA-protein interactions to reveal post-transcriptional regulation and RNA regulatory mechanisms.
OverviewOverview
BenefitsBenefits
ApplicationsApplications
SpecificationsSpecifications
ResourcesResources

RNA immunoprecipitation sequencing (RIP-seq) enables transcriptome-wide analysis of RNA molecules associated with RNA-binding proteins (RBPs). By sequencing immunoprecipitated RNA, RIP-seq helps researchers identify RBP-associated transcripts and explore RNA–protein interaction patterns.


Novogene Europe supports RIP-seq projects from customer-provided immunoprecipitated RNA through library preparation, sequencing and bioinformatics analysis. RIP-seq can support studies of RNA stability, splicing, localisation, translation and post-transcriptional regulation, with potential integration alongside RNA-seq, ChIP-seq, ATAC-seq or other omics data.

Service Highlights

RBP-associated RNA Profiling
RBP-associated RNA Profiling

RIP-seq profiles RNA molecules associated with RNA-binding proteins, helping identify potential RBP targets across coding and non-coding transcripts.

RBP-associated RNA Profiling
RBP-associated RNA Profiling

RIP-seq profiles RNA molecules associated with RNA-binding proteins, helping identify potential RBP targets across coding and non-coding transcripts.

Immunoprecipitated RNA Workflow
Immunoprecipitated RNA Workflow

Starting from customer-provided enriched RNA, library preparation and sequencing workflows support transcriptome-wide analysis of RNA–protein interactions.

Immunoprecipitated RNA Workflow
Immunoprecipitated RNA Workflow

Starting from customer-provided enriched RNA, library preparation and sequencing workflows support transcriptome-wide analysis of RNA–protein interactions.

Target Transcript Analysis
Target Transcript Analysis

Bioinformatics analysis supports identification of enriched transcripts and comparison across experimental groups to explore RBP-associated RNA patterns.

Target Transcript Analysis
Target Transcript Analysis

Bioinformatics analysis supports identification of enriched transcripts and comparison across experimental groups to explore RBP-associated RNA patterns.

Regulatory Context Integration
Regulatory Context Integration

RIP-seq data can be combined with RNA-seq or other omics datasets to investigate post-transcriptional regulation in broader biological context.

Regulatory Context Integration
Regulatory Context Integration

RIP-seq data can be combined with RNA-seq or other omics datasets to investigate post-transcriptional regulation in broader biological context.

Service Highlights

RBP-associated RNA Profiling
RBP-associated RNA Profiling

RIP-seq profiles RNA molecules associated with RNA-binding proteins, helping identify potential RBP targets across coding and non-coding transcripts.

RBP-associated RNA Profiling
RBP-associated RNA Profiling

RIP-seq profiles RNA molecules associated with RNA-binding proteins, helping identify potential RBP targets across coding and non-coding transcripts.

Immunoprecipitated RNA Workflow
Immunoprecipitated RNA Workflow

Starting from customer-provided enriched RNA, library preparation and sequencing workflows support transcriptome-wide analysis of RNA–protein interactions.

Immunoprecipitated RNA Workflow
Immunoprecipitated RNA Workflow

Starting from customer-provided enriched RNA, library preparation and sequencing workflows support transcriptome-wide analysis of RNA–protein interactions.

Target Transcript Analysis
Target Transcript Analysis

Bioinformatics analysis supports identification of enriched transcripts and comparison across experimental groups to explore RBP-associated RNA patterns.

Target Transcript Analysis
Target Transcript Analysis

Bioinformatics analysis supports identification of enriched transcripts and comparison across experimental groups to explore RBP-associated RNA patterns.

Regulatory Context Integration
Regulatory Context Integration

RIP-seq data can be combined with RNA-seq or other omics datasets to investigate post-transcriptional regulation in broader biological context.

Regulatory Context Integration
Regulatory Context Integration

RIP-seq data can be combined with RNA-seq or other omics datasets to investigate post-transcriptional regulation in broader biological context.

Applications

RNA-binding Protein Target Discovery

RIP-seq supports research into RNA stability, splicing, localisation and translation by profiling RNA–protein interaction patterns across transcripts and experimental conditions.

RNA-binding Protein Target Discovery

RIP-seq supports research into RNA stability, splicing, localisation and translation by profiling RNA–protein interaction patterns across transcripts and experimental conditions.

Post-transcriptional Regulation

RIP-seq supports research into RNA stability, splicing, localisation and translation by profiling RNA–protein interaction patterns across transcripts or experimental conditions.

Post-transcriptional Regulation

RIP-seq supports research into RNA stability, splicing, localisation and translation by profiling RNA–protein interaction patterns across transcripts or experimental conditions.

Non-coding RNA Research

Analyse RBP-associated non-coding RNAs, including lncRNAs and other regulatory RNA species involved in transcript regulation and gene expression control.

Non-coding RNA Research

Analyse RBP-associated non-coding RNAs, including lncRNAs and other regulatory RNA species involved in transcript regulation and gene expression control.

Multi-Omics Integration

Integrate RIP-seq data with other sequencing methods, such as ChIP-seq or ATAC-seq, to construct a comprehensive view of gene regulatory networks.

Multi-Omics Integration

Integrate RIP-seq data with other sequencing methods, such as ChIP-seq or ATAC-seq, to construct a comprehensive view of gene regulatory networks.

Applications

RNA-binding Protein Target Discovery

RIP-seq supports research into RNA stability, splicing, localisation and translation by profiling RNA–protein interaction patterns across transcripts and experimental conditions.

RNA-binding Protein Target Discovery

RIP-seq supports research into RNA stability, splicing, localisation and translation by profiling RNA–protein interaction patterns across transcripts and experimental conditions.

Post-transcriptional Regulation

RIP-seq supports research into RNA stability, splicing, localisation and translation by profiling RNA–protein interaction patterns across transcripts or experimental conditions.

Post-transcriptional Regulation

RIP-seq supports research into RNA stability, splicing, localisation and translation by profiling RNA–protein interaction patterns across transcripts or experimental conditions.

Non-coding RNA Research

Analyse RBP-associated non-coding RNAs, including lncRNAs and other regulatory RNA species involved in transcript regulation and gene expression control.

Non-coding RNA Research

Analyse RBP-associated non-coding RNAs, including lncRNAs and other regulatory RNA species involved in transcript regulation and gene expression control.

Multi-Omics Integration

Integrate RIP-seq data with other sequencing methods, such as ChIP-seq or ATAC-seq, to construct a comprehensive view of gene regulatory networks.

Multi-Omics Integration

Integrate RIP-seq data with other sequencing methods, such as ChIP-seq or ATAC-seq, to construct a comprehensive view of gene regulatory networks.

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.

Sample TypeMinimum amountVolumeRecommended ConcentrationFragment Size
Enriched RNA Sample≥ 20 ng≥ 10 μL≥ 2 ng/ μLFragments longer than 80 nt

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.

Sample TypeMinimum amountVolumeRecommended ConcentrationFragment Size
Enriched RNA Sample≥ 20 ng≥ 10 μL≥ 2 ng/ μLFragments longer than 80 nt

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.

Sample TypeMinimum amountVolumeRecommended ConcentrationFragment Size
Enriched RNA Sample≥ 20 ng≥ 10 μL≥ 2 ng/ μLFragments longer than 80 nt

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.

Sample TypeMinimum amountVolumeRecommended ConcentrationFragment Size
Enriched RNA Sample≥ 20 ng≥ 10 μL≥ 2 ng/ μLFragments longer than 80 nt

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
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional enrichment analysis

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
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional enrichment analysis

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
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional enrichment analysis

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
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional enrichment analysis

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.

Sample TypeMinimum amountVolumeRecommended ConcentrationFragment Size
Enriched RNA Sample≥ 20 ng≥ 10 μL≥ 2 ng/ μLFragments longer than 80 nt

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.

Sample TypeMinimum amountVolumeRecommended ConcentrationFragment Size
Enriched RNA Sample≥ 20 ng≥ 10 μL≥ 2 ng/ μLFragments longer than 80 nt

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.

Sample TypeMinimum amountVolumeRecommended ConcentrationFragment Size
Enriched RNA Sample≥ 20 ng≥ 10 μL≥ 2 ng/ μLFragments longer than 80 nt

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.

Sample TypeMinimum amountVolumeRecommended ConcentrationFragment Size
Enriched RNA Sample≥ 20 ng≥ 10 μL≥ 2 ng/ μLFragments longer than 80 nt

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
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional enrichment analysis

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
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional enrichment analysis

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
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional enrichment analysis

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
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional enrichment analysis

Resources

Example Analysis Output

Image
Image
1/1
Genome-wide Reads & Peaks

Visualise mapped reads and enriched RIP-seq peak regions across chromosomes.

Image
Image
1/1
RBP Motif Enrichment

Identify enriched sequence motifs within RBP-associated peak regions to explore potential binding patterns..

Image
Image
1/1
Read Density Across Peaks

Compare read enrichment across annotated peak regions and experimental groups.

Image
Image
1/1
KEGG Pathway Enrichment

Identify enriched pathways associated with peak-linked genes for functional interpretation.

Image
Image
1/1
Genome-wide Reads & Peaks

Visualise mapped reads and enriched RIP-seq peak regions across chromosomes.

Image
Image
1/1
RBP Motif Enrichment

Identify enriched sequence motifs within RBP-associated peak regions to explore potential binding patterns..

Image
Image
1/1
Read Density Across Peaks

Compare read enrichment across annotated peak regions and experimental groups.

Image
Image
1/1
KEGG Pathway Enrichment

Identify enriched pathways associated with peak-linked genes for functional interpretation.

Image
Image
1/1
Genome-wide Reads & Peaks

Visualise mapped reads and enriched RIP-seq peak regions across chromosomes.

Image
Image
1/1
RBP Motif Enrichment

Identify enriched sequence motifs within RBP-associated peak regions to explore potential binding patterns..

Image
Image
1/1
Read Density Across Peaks

Compare read enrichment across annotated peak regions and experimental groups.

Image
Image
1/1
KEGG Pathway Enrichment

Identify enriched pathways associated with peak-linked genes for functional interpretation.

Image
Image
1/1
Genome-wide Reads & Peaks

Visualise mapped reads and enriched RIP-seq peak regions across chromosomes.

Image
Image
1/1
RBP Motif Enrichment

Identify enriched sequence motifs within RBP-associated peak regions to explore potential binding patterns..

Image
Image
1/1
Read Density Across Peaks

Compare read enrichment across annotated peak regions and experimental groups.

Image
Image
1/1
KEGG Pathway Enrichment

Identify enriched pathways associated with peak-linked genes for functional interpretation.

Webinars

Epigenetics Elevated: NGS Solutions for Transformative Epigenetics Research

Explore the latest NGS-based approaches for epigenetics research, including WGBS, EM-seq, ChIP-seq, RIP-seq, and ATAC-seq. This webinar will cover the principles, applications, workflows, and bioinformatics strategies used to investigate DNA methylation, chromatin accessibility, and gene regulation.

Learn More
(Epigenetics Elevated: NGS Solutions for Transformative Epigenetics Research)
Epigenetics Elevated: NGS Solutions for Transformative Epigenetics Research

Explore the latest NGS-based approaches for epigenetics research, including WGBS, EM-seq, ChIP-seq, RIP-seq, and ATAC-seq. This webinar will cover the principles, applications, workflows, and bioinformatics strategies used to investigate DNA methylation, chromatin accessibility, and gene regulation.

Learn More
(Epigenetics Elevated: NGS Solutions for Transformative Epigenetics Research)
Epigenetics Elevated: NGS Solutions for Transformative Epigenetics Research

Explore the latest NGS-based approaches for epigenetics research, including WGBS, EM-seq, ChIP-seq, RIP-seq, and ATAC-seq. This webinar will cover the principles, applications, workflows, and bioinformatics strategies used to investigate DNA methylation, chromatin accessibility, and gene regulation.

Learn More
(Epigenetics Elevated: NGS Solutions for Transformative Epigenetics Research)
Epigenetics Elevated: NGS Solutions for Transformative Epigenetics Research

Explore the latest NGS-based approaches for epigenetics research, including WGBS, EM-seq, ChIP-seq, RIP-seq, and ATAC-seq. This webinar will cover the principles, applications, workflows, and bioinformatics strategies used to investigate DNA methylation, chromatin accessibility, and gene regulation.

Learn More
(Epigenetics Elevated: NGS Solutions for Transformative Epigenetics Research)

Explore Epigenomics Resources

Access webinars, brochures and case studies covering sequencing technologies, study planning and data interpretation.
View Webinar Library
(Explore Epigenomics Resources)View Webinar Library
(Explore Epigenomics Resources)
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RNA Immunoprecipitation Sequencing (RIP-seq)

Transcriptome-wide profiling of RNA-protein interactions to reveal post-transcriptional regulation and RNA regulatory mechanisms.
OverviewOverview
BenefitsBenefits
ApplicationsApplications
SpecificationsSpecifications
ResourcesResources

RNA immunoprecipitation sequencing (RIP-seq) enables transcriptome-wide analysis of RNA molecules associated with RNA-binding proteins (RBPs). By sequencing immunoprecipitated RNA, RIP-seq helps researchers identify RBP-associated transcripts and explore RNA–protein interaction patterns.


Novogene Europe supports RIP-seq projects from customer-provided immunoprecipitated RNA through library preparation, sequencing and bioinformatics analysis. RIP-seq can support studies of RNA stability, splicing, localisation, translation and post-transcriptional regulation, with potential integration alongside RNA-seq, ChIP-seq, ATAC-seq or other omics data.

Service Highlights

RBP-associated RNA Profiling
RBP-associated RNA Profiling

RIP-seq profiles RNA molecules associated with RNA-binding proteins, helping identify potential RBP targets across coding and non-coding transcripts.

RBP-associated RNA Profiling
RBP-associated RNA Profiling

RIP-seq profiles RNA molecules associated with RNA-binding proteins, helping identify potential RBP targets across coding and non-coding transcripts.

Immunoprecipitated RNA Workflow
Immunoprecipitated RNA Workflow

Starting from customer-provided enriched RNA, library preparation and sequencing workflows support transcriptome-wide analysis of RNA–protein interactions.

Immunoprecipitated RNA Workflow
Immunoprecipitated RNA Workflow

Starting from customer-provided enriched RNA, library preparation and sequencing workflows support transcriptome-wide analysis of RNA–protein interactions.

Target Transcript Analysis
Target Transcript Analysis

Bioinformatics analysis supports identification of enriched transcripts and comparison across experimental groups to explore RBP-associated RNA patterns.

Target Transcript Analysis
Target Transcript Analysis

Bioinformatics analysis supports identification of enriched transcripts and comparison across experimental groups to explore RBP-associated RNA patterns.

Regulatory Context Integration
Regulatory Context Integration

RIP-seq data can be combined with RNA-seq or other omics datasets to investigate post-transcriptional regulation in broader biological context.

Regulatory Context Integration
Regulatory Context Integration

RIP-seq data can be combined with RNA-seq or other omics datasets to investigate post-transcriptional regulation in broader biological context.

Service Highlights

RBP-associated RNA Profiling
RBP-associated RNA Profiling

RIP-seq profiles RNA molecules associated with RNA-binding proteins, helping identify potential RBP targets across coding and non-coding transcripts.

RBP-associated RNA Profiling
RBP-associated RNA Profiling

RIP-seq profiles RNA molecules associated with RNA-binding proteins, helping identify potential RBP targets across coding and non-coding transcripts.

Immunoprecipitated RNA Workflow
Immunoprecipitated RNA Workflow

Starting from customer-provided enriched RNA, library preparation and sequencing workflows support transcriptome-wide analysis of RNA–protein interactions.

Immunoprecipitated RNA Workflow
Immunoprecipitated RNA Workflow

Starting from customer-provided enriched RNA, library preparation and sequencing workflows support transcriptome-wide analysis of RNA–protein interactions.

Target Transcript Analysis
Target Transcript Analysis

Bioinformatics analysis supports identification of enriched transcripts and comparison across experimental groups to explore RBP-associated RNA patterns.

Target Transcript Analysis
Target Transcript Analysis

Bioinformatics analysis supports identification of enriched transcripts and comparison across experimental groups to explore RBP-associated RNA patterns.

Regulatory Context Integration
Regulatory Context Integration

RIP-seq data can be combined with RNA-seq or other omics datasets to investigate post-transcriptional regulation in broader biological context.

Regulatory Context Integration
Regulatory Context Integration

RIP-seq data can be combined with RNA-seq or other omics datasets to investigate post-transcriptional regulation in broader biological context.

Applications

RNA-binding Protein Target Discovery

RIP-seq supports research into RNA stability, splicing, localisation and translation by profiling RNA–protein interaction patterns across transcripts and experimental conditions.

RNA-binding Protein Target Discovery

RIP-seq supports research into RNA stability, splicing, localisation and translation by profiling RNA–protein interaction patterns across transcripts and experimental conditions.

Post-transcriptional Regulation

RIP-seq supports research into RNA stability, splicing, localisation and translation by profiling RNA–protein interaction patterns across transcripts or experimental conditions.

Post-transcriptional Regulation

RIP-seq supports research into RNA stability, splicing, localisation and translation by profiling RNA–protein interaction patterns across transcripts or experimental conditions.

Non-coding RNA Research

Analyse RBP-associated non-coding RNAs, including lncRNAs and other regulatory RNA species involved in transcript regulation and gene expression control.

Non-coding RNA Research

Analyse RBP-associated non-coding RNAs, including lncRNAs and other regulatory RNA species involved in transcript regulation and gene expression control.

Multi-Omics Integration

Integrate RIP-seq data with other sequencing methods, such as ChIP-seq or ATAC-seq, to construct a comprehensive view of gene regulatory networks.

Multi-Omics Integration

Integrate RIP-seq data with other sequencing methods, such as ChIP-seq or ATAC-seq, to construct a comprehensive view of gene regulatory networks.

Applications

RNA-binding Protein Target Discovery

RIP-seq supports research into RNA stability, splicing, localisation and translation by profiling RNA–protein interaction patterns across transcripts and experimental conditions.

RNA-binding Protein Target Discovery

RIP-seq supports research into RNA stability, splicing, localisation and translation by profiling RNA–protein interaction patterns across transcripts and experimental conditions.

Post-transcriptional Regulation

RIP-seq supports research into RNA stability, splicing, localisation and translation by profiling RNA–protein interaction patterns across transcripts or experimental conditions.

Post-transcriptional Regulation

RIP-seq supports research into RNA stability, splicing, localisation and translation by profiling RNA–protein interaction patterns across transcripts or experimental conditions.

Non-coding RNA Research

Analyse RBP-associated non-coding RNAs, including lncRNAs and other regulatory RNA species involved in transcript regulation and gene expression control.

Non-coding RNA Research

Analyse RBP-associated non-coding RNAs, including lncRNAs and other regulatory RNA species involved in transcript regulation and gene expression control.

Multi-Omics Integration

Integrate RIP-seq data with other sequencing methods, such as ChIP-seq or ATAC-seq, to construct a comprehensive view of gene regulatory networks.

Multi-Omics Integration

Integrate RIP-seq data with other sequencing methods, such as ChIP-seq or ATAC-seq, to construct a comprehensive view of gene regulatory networks.

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.

Sample TypeMinimum amountVolumeRecommended ConcentrationFragment Size
Enriched RNA Sample≥ 20 ng≥ 10 μL≥ 2 ng/ μLFragments longer than 80 nt

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.

Sample TypeMinimum amountVolumeRecommended ConcentrationFragment Size
Enriched RNA Sample≥ 20 ng≥ 10 μL≥ 2 ng/ μLFragments longer than 80 nt

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.

Sample TypeMinimum amountVolumeRecommended ConcentrationFragment Size
Enriched RNA Sample≥ 20 ng≥ 10 μL≥ 2 ng/ μLFragments longer than 80 nt

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.

Sample TypeMinimum amountVolumeRecommended ConcentrationFragment Size
Enriched RNA Sample≥ 20 ng≥ 10 μL≥ 2 ng/ μLFragments longer than 80 nt

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
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional enrichment analysis

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
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional enrichment analysis

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
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional enrichment analysis

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
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional enrichment analysis

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.

Sample TypeMinimum amountVolumeRecommended ConcentrationFragment Size
Enriched RNA Sample≥ 20 ng≥ 10 μL≥ 2 ng/ μLFragments longer than 80 nt

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.

Sample TypeMinimum amountVolumeRecommended ConcentrationFragment Size
Enriched RNA Sample≥ 20 ng≥ 10 μL≥ 2 ng/ μLFragments longer than 80 nt

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.

Sample TypeMinimum amountVolumeRecommended ConcentrationFragment Size
Enriched RNA Sample≥ 20 ng≥ 10 μL≥ 2 ng/ μLFragments longer than 80 nt

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.

Sample TypeMinimum amountVolumeRecommended ConcentrationFragment Size
Enriched RNA Sample≥ 20 ng≥ 10 μL≥ 2 ng/ μLFragments longer than 80 nt

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
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional enrichment analysis

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
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional enrichment analysis

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
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional enrichment analysis

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
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional enrichment analysis

Resources

Example Analysis Output

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Genome-wide Reads & Peaks

Visualise mapped reads and enriched RIP-seq peak regions across chromosomes.

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RBP Motif Enrichment

Identify enriched sequence motifs within RBP-associated peak regions to explore potential binding patterns..

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Read Density Across Peaks

Compare read enrichment across annotated peak regions and experimental groups.

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KEGG Pathway Enrichment

Identify enriched pathways associated with peak-linked genes for functional interpretation.

Image
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1/1
Genome-wide Reads & Peaks

Visualise mapped reads and enriched RIP-seq peak regions across chromosomes.

Image
Image
1/1
RBP Motif Enrichment

Identify enriched sequence motifs within RBP-associated peak regions to explore potential binding patterns..

Image
Image
1/1
Read Density Across Peaks

Compare read enrichment across annotated peak regions and experimental groups.

Image
Image
1/1
KEGG Pathway Enrichment

Identify enriched pathways associated with peak-linked genes for functional interpretation.

Image
Image
1/1
Genome-wide Reads & Peaks

Visualise mapped reads and enriched RIP-seq peak regions across chromosomes.

Image
Image
1/1
RBP Motif Enrichment

Identify enriched sequence motifs within RBP-associated peak regions to explore potential binding patterns..

Image
Image
1/1
Read Density Across Peaks

Compare read enrichment across annotated peak regions and experimental groups.

Image
Image
1/1
KEGG Pathway Enrichment

Identify enriched pathways associated with peak-linked genes for functional interpretation.

Image
Image
1/1
Genome-wide Reads & Peaks

Visualise mapped reads and enriched RIP-seq peak regions across chromosomes.

Image
Image
1/1
RBP Motif Enrichment

Identify enriched sequence motifs within RBP-associated peak regions to explore potential binding patterns..

Image
Image
1/1
Read Density Across Peaks

Compare read enrichment across annotated peak regions and experimental groups.

Image
Image
1/1
KEGG Pathway Enrichment

Identify enriched pathways associated with peak-linked genes for functional interpretation.

Webinars

Epigenetics Elevated: NGS Solutions for Transformative Epigenetics Research

Explore the latest NGS-based approaches for epigenetics research, including WGBS, EM-seq, ChIP-seq, RIP-seq, and ATAC-seq. This webinar will cover the principles, applications, workflows, and bioinformatics strategies used to investigate DNA methylation, chromatin accessibility, and gene regulation.

Learn More
(Epigenetics Elevated: NGS Solutions for Transformative Epigenetics Research)
Epigenetics Elevated: NGS Solutions for Transformative Epigenetics Research

Explore the latest NGS-based approaches for epigenetics research, including WGBS, EM-seq, ChIP-seq, RIP-seq, and ATAC-seq. This webinar will cover the principles, applications, workflows, and bioinformatics strategies used to investigate DNA methylation, chromatin accessibility, and gene regulation.

Learn More
(Epigenetics Elevated: NGS Solutions for Transformative Epigenetics Research)
Epigenetics Elevated: NGS Solutions for Transformative Epigenetics Research

Explore the latest NGS-based approaches for epigenetics research, including WGBS, EM-seq, ChIP-seq, RIP-seq, and ATAC-seq. This webinar will cover the principles, applications, workflows, and bioinformatics strategies used to investigate DNA methylation, chromatin accessibility, and gene regulation.

Learn More
(Epigenetics Elevated: NGS Solutions for Transformative Epigenetics Research)
Epigenetics Elevated: NGS Solutions for Transformative Epigenetics Research

Explore the latest NGS-based approaches for epigenetics research, including WGBS, EM-seq, ChIP-seq, RIP-seq, and ATAC-seq. This webinar will cover the principles, applications, workflows, and bioinformatics strategies used to investigate DNA methylation, chromatin accessibility, and gene regulation.

Learn More
(Epigenetics Elevated: NGS Solutions for Transformative Epigenetics Research)

Explore Epigenomics Resources

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