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3D Genomics is Helping Cancer Researchers Solve Undiagnosable tumorsLearn More

Proven Performance

Improve resolution and genome coverage with innovative multiple restriction enzyme chemistry

Save substantial sequencing costs via increased long-range signal

User-Friendly Workflow

Gain research insights quickly with rapid 6 hour automation-friendly protocol and reproducible results

Assure library quality with quantitative and predictive QC steps

Sample Flexibility

Analyze previously inaccessible low-input samples, including FFPE, using robust Arima-HiC chemistry

Maximize sample recovery with single-tube chemistry

Benefits of Genome-Wide HiC

The Arima Genome-Wide HiC+ Kit and workflow is ideal for understanding gene regulation and epigenetic mechanisms.

Identify all structural elements in the genome, including compartments, TADs, and loops

Achieve uniform coverage across >90% of the genome

Utilize a variety of sample types, including plant tissue, cell culture, vertebrate tissue samples, and invertebrates

Visualize 3D Genomic Interactions with Ease

Arima-HiC+ for Genome-Wide Hi-C provides the resolution to identify all aspects of the 3D genome architecture. Learn more about our epigenetics application.

Genome wide HiC_3D Genome Structure_Image

Arima-HiC+ Workflow

With our easy-to-use workflow you can rapidly go from sample to discovery.

Hi-C Prep

Rapid 6-hour Protocol

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

*Arima-HiC+ FFPE kit

Library Prep

Pre-validated Library Prep Protocol

Kapa Hyper Prep (standard input)

Swift Accel-NGS 2S (low input)


Illumina Next Generation Sequencing

600M reads for genome-wide 5kb loop calls

Data Analysis

Powerful Analysis Built on Open Source Tools

Using the Juicer bioinformatics pipeline for HiC+ read alignment

Hiruy Meharena, PhD

Postdoctoral Fellow at Massachusetts Institute of Technology
“We are pleased with the ease of the Arima-HiC workflow and the improved data quality for topological domain and chromatin looping analysis. The expanded support for low input is a significant feature, as it allows researchers to perform Hi-C across precious samples such as rare cell populations or clinical samples that were previously precluded from Hi-C analysis.”

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