Spatial & Multi-omics

Integrated Multi-omics Analysis

Connect transcriptomic, chromatin and DNA methylation data to investigate gene regulation across sequencing assays.

How it works

We integrate RNA-seq, ATAC-seq, ChIP-seq, CUT&Tag, DNA methylation and Hi-C data around a shared biological question. Sample matching, experimental conditions and data quality guide the analysis, helping identify regulatory relationships for further investigation. This service focuses on sequencing data; proteomics and metabolomics are available through their respective services.

Integration of expression, chromatin and DNA methylation sequencing data
Experimental and analytical workflow

Applications

  • Relate gene expression to chromatin accessibility, histone modifications and DNA methylation
  • Connect chromatin contacts with regulatory regions and their potential target genes
  • Develop testable regulatory hypotheses from matched samples and comparable conditions

Key features

  • Assay combinations selected around the biological question and available samples
  • Integration across transcriptomic, epigenomic and 3D genome sequencing data
  • Regulatory hypotheses that can be evaluated with independent data or follow-up experiments

Workflow

  1. 01

    Define the biological question, assay combination and sample matching

  2. 02

    Process and assess each sequencing dataset

  3. 03

    Integrate results, prioritize regulatory relationships and visualize findings

  4. 04

    Discuss interpretation and options for follow-up validation

We tailor the experimental workflow and analysis to your samples and study objectives.

Start your project

The right expertise for your next study

Tell us what you want to discover. We will help you define the samples, methods and analysis your study needs.

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