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.
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
- 01
Define the biological question, assay combination and sample matching
- 02
Process and assess each sequencing dataset
- 03
Integrate results, prioritize regulatory relationships and visualize findings
- 04
Discuss interpretation and options for follow-up validation
We tailor the experimental workflow and analysis to your samples and study objectives.