Integrated Multi-omics Analysis (Sequencing Projects)

Principle

Integrate RNA-Seq, ATAC-Seq, ChIP-Seq, CUT&Tag, DNA methylation or Hi-C around one research question. Sample correspondence, experimental conditions and data quality guide comparisons and candidate regulatory hypotheses. This service covers sequencing-based integration; proteomics and metabolomics are described separately.

Applications

• Relate expression to accessibility, histone modifications or methylation
• Integrate chromatin interactions with candidate regulatory elements
• Develop cross-omics hypotheses from matched samples and comparable conditions

Method features

• Select combinations around the research question and sample matching
• Covers transcriptomic, epigenetic and three-dimensional genome sequencing
• Evaluate candidate associations using independent data or follow-up experiments

Workflow

1. 01

   Define the question, assay combination and sample correspondence

2. 02

   Assess and process each sequencing dataset

3. 03

   Integrate signals, prioritize candidate mechanisms and visualize results

4. 04

   Discuss interpretation, scope and follow-up validation

This is a workflow overview. Experimental and analytical details depend on sample conditions and research objectives.