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Proven Technology

Trusted Arima Hi-C chemistry combined with validated RNA-seq, ATAC-seq, and PacBio sequencing

End-to-End Service

Integrated structure, mechanism, and function data delivered from a single partner

Sample Flexibility

Analyze a variety of sample types including plant, animals and low-input samples

From Sample to Data

With our easy-to-use workflow, you can rapidly go from sample to data

Sample Prep

Hi-C/CiFi/RNA/ATAC-seq

Compatible with cell lines, primary cells, fresh/frozen tissue, and FFPE

Library Prep

Generate High-Quality Sequencing Libraries

Processed with appropriate library preparation workflow

Sequencing

Illumina or PacBio Next Generation Sequencing

overage and sequencing depth vary based on project requirements & platform

Data Analysis

Powerful Analysis Built on Open Source Tools

Bioinformatics tool based on application

Benefits of Multi-Omics Service

  • One partner, complete data — integrate 3D genome structure, chromatin accessibility, and gene expression without coordinating across multiple service providers
  • Flexible sample compatibility — work with fresh frozen tissue, cell pellets, FFPE, and low-input samples across mammalian, plant, and other organisms
  • Built-in quality assurance — integrated QC checkpoints at every stage deliver reliable, reproducible, publication-quality results
  • End-to-end support — from multi-omics library prep through sequencing and bioinformatics, all from a single team

Multi-Omics and 3D Genomics Decode Arthritis Disease Mechanisms

Researchers at the University of Manchester combined Hi-C, RNA-seq, and ATAC-seq data from primary T cells isolated from psoriatic arthritis patients to decode how disease-associated genetic variants influence gene regulation. By integrating 3D chromatin architecture (Hi-C), gene expression (RNA-seq), and chromatin accessibility (ATAC-seq), the team identified specific enhancer-gene connections and TAD boundary disruptions that explain how distant non-coding variants drive autoimmune disease risk.

Shi, C., Zhao, D., Butler, J. et al. Multi-omics analysis in primary T cells elucidates mechanisms behind disease-associated genetic loci. Genome Biol 26, 26 (2025).

 

MultiOmics paper

Arima Multi-Omics Publications

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