ATAC-Seq Kit - 8 or 16 Reactions

Generate reproducible, high-quality, high-complexity bulk ATAC-seq libraries with an easy-to-implement workflow from Epigenome Technologies. Built for open-chromatin profiling, nucleosome positioning, and fragmentomics analysis, our kit is the optimal choice for open chromatin profiling. Choose the 8-reaction or 16-reaction format to match the size of your project.

Format

8 or 16 Reactions

Select capacity based on project scope and throughput needs

Assay Focus

Open Chromatin

Bulk ATAC-seq workflow for accessible regulatory regions

Support Model

Scientist-Backed

Guidance from a team specialized in Tn5 and single-cell epigenetics

Order ATAC-Seq Kit

A cartoon illustrates the easy-to-use EGT ATAC-seq kit workflow from frozen tissue or cryopreserved or live-cell samples through sequencing-ready libraries.
Our ATAC-seq workflow starts with frozen tissue, or cryopreserved or live-cell samples, and produces sequencing-ready libraries, in a streamlined workflow for practical bulk ATAC-seq execution.
Product Catalogue # Workflow Size List Price Link
ATAC-Seq Kit AS8101 Bulk ATAC-seq 8 Reactions $700 Order
ATAC-Seq Kit AS16101 Bulk ATAC-seq 16 Reactions $1200 Order

Need help evaluating fit? Contact our scientific team

What You Need to Get Started

  • Input Material: Frozen tissues, cryopreserved cells, or fresh tissues and cells; detailed troubleshooting support included for low-viability samples
  • Sequencing: Illumina-compatible sequencing system
  • Bioinformatics: Standard ATAC-seq pipelines.
A PBMC IGV comparison shows EGT and VendorA ATAC-seq tracks together with histone-mark tracks, where EGT-unique ATAC peaks overlap the established active marks H3K27ac and H3K4me1.
In PBMC samples, Epigenome Technologies' ATAC-seq data better comports with active histone modifications than competitor kits and open protocols.

Why Teams Choose This Kit

The EGT ATAC-Seq Kit delivers reproducible, high-quality, high-complexity libraries with reference-aligned accessibility signal and a workflow built for confident downstream interpretation. Comparative data show strong performance across library complexity, mitochondrial-read fraction, correlation, TSS enrichment, and locus-level signal.

A wide IGV view of K562 profiling - ATAC, H3K27ac, H3K4me1, H3K4me3
The ATAC kit from Epigenome Technologies provides high-complexity open chromatin data. In K562 cells, our kit better captures enhancer peaks (active but not marked by H3K4me3) than competitor approaches.

Built by Epigenetic Experts

Developed by a team focused on Tn5-driven epigenetics workflows, including demanding single-cell use cases, the ATAC-seq kit from Epigenome Technologies applies that expertise to reproducible bulk ATAC library preparation, including clear QC guardrails, and producing high-quality signal for downstream nucleosome positioning and fragmentomics analysis.

Built for 8X and 16X Throughput

Use 8 reactions for focused studies or 16 reactions for broader sample sets and repeat conditions while maintaining the same reproducible, high-quality workflow and QC framework across both configurations.

More Informative Sequencing Output

Epigenome Technologies libraries show greater measured complexity than the alternatives in the representative comparison set across both cell lines and heterogeneous tissues. The resulting pool of unique fragments captures more of the underlying biology for peak discovery, quantitative accessibility analysis, nucleosome positioning, and fragmentomics workflows.

A bar plot compares extrapolated ATAC-seq library complexity in K562 and PBMC samples across EGT, VendorA, and external GEO datasets.
This comparison shows extrapolated library complexity in K562 and PBMC across Epigenome Technologies' ATAC-seq kit and competitor approaches; the displayed EGT complexity is approximately 2 to 10 times higher than VendorA, indicating deeper capture of the underlying biology in these benchmark samples.

More Reads Available for Nuclear Signal

ATAC libraries from Epigenome Technologies show a robustly lower mitochondrial read fraction than the leading competitor, preserving more sequencing capacity for nuclear accessibility information. For low-viability tissues or cells, follow the validated Epigenome Technologies preparation, washing/debris-removal, and nuclei-quality guidance before transposition to reduce mitochondrial contamination and protect library quality.

A bar plot compares the percentage of mitochondrial ATAC-seq reads for EGT and VendorA with external GEO datasets in K562 and PBMC samples.
This comparison shows that the percentage of mitochondrial reads is robustly lower for Epigenome Technologies (EGT) than for the leading competitor in the displayed samples, while EGT kits also include protocol options for low-viability inputs.
A 5-kb-bin correlation heatmap compares K562 ATAC-seq accessibility profiles from EGT, VendorA, ENCODE, and GEO datasets.
This 5-kb-bin K562 correlation comparison shows EGT most correlated with the external ENCODE and GEO datasets.
A 5-kb-bin correlation heatmap compares PBMC ATAC-seq accessibility profiles from EGT, VendorA, ENCODE, and GEO datasets.
This 5-kb-bin PBMC correlation comparison shows EGT and VendorA correlations with external datasets as indistinguishable in the displayed analysis.

K562 Reference-Aligned Accessibility Profiles

The K562 cut-site profile demonstrates clear transcription-start-site accessibility, a distinct nucleosomal pattern, and very high TSS enrichment. Together with the correlation comparisons, it confirms high-quality, interpretable chromatin signal for downstream analysis.

A K562 ATAC-seq profile shows average coverage intensity from 1 kilobase upstream to 1 kilobase downstream of gene transcription start sites for EGT and VendorA.
This K562 TSS profile shows a clear nucleosomal cut-site pattern from the EGT kit that is attenuated in competing approaches; together with very high-quality TSS enrichment, this demonstrates applicability both for accessibility comparisons and for detailed local analyses such as TF and nucleosome occupancy analysis.

PBMC Reference-Aligned Accessibility Profiles

The PBMC cut-site profile demonstrates clear transcription-start-site accessibility, a distinct nucleosomal pattern, and very high TSS enrichment. These results provide reproducible, interpretable accessibility signal for downstream analysis alongside reference comparisons.

A PBMC ATAC-seq profile shows average coverage intensity from 1 kilobase upstream to 1 kilobase downstream of gene transcription start sites for EGT and VendorA.
This PBMC TSS profile shows a clear nucleosomal cut-site pattern from the EGT kit that is attenuated in competing approaches, demonstrating suitability for a wide range of comparative and fragment-focused analyses in heterogeneous tissues.

Assay Specifications and Operational Fit

In addition to compatibility with a wide array of sample inputs, the Epigenome Technologies ATAC-seq workflow includes validated low-viability handling guidance to reduce mitochondrial contamination and preserve nuclear accessibility signal.

Parameter Specification
Compatible Input Types Frozen tissues, cryopreserved cells, fresh tissues, and live cells
Library Output High-complexity, Illumina-compatible libraries for open-chromatin, nucleosome-positioning, and fragmentomics analysis
Sequencing Platform Illumina (paired-end recommended)
Throughput Formats 8 Reactions or 16 Reactions
Sample Quality Support Validated preparation, washing/debris-removal, and nuclei-quality guidance for low-viability samples to reduce mitochondrial contamination

Representative QC Visual

DeepTools coverage visualizations compare EGT with ENCODE K562 ATAC-seq and DNase-seq near transcription start sites and peak centers, showing greater centrality and peakiness and better peak-to-interval-endpoint ratios for EGT.
These DeepTools visualizations compare coverage profiles near TSSs and peak centers between EGT and ENCODE K562 ATAC-seq and DNase-seq, with EGT showing greater centrality and peakiness and better peak-to-interval-endpoint ratios in the displayed comparison.

Safety Data Sheets (SDS)

Applicable SDS Documents

The following Safety Data Sheets apply to this kit:

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Kit Configuration

ATAC-Seq Kit: 8 Reaction Configuration

A right-sized configuration for focused studies and routine projects that need reproducible, high-quality, high-complexity bulk ATAC-seq libraries with consistent QC standards.

Epigenome Technologies kit packaging
ATAC-Seq Kit packaging
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What This Configuration Supports

  • Focused bulk ATAC study workflows
  • Method development and comparative condition work
  • Repeat runs for reproducibility checks
  • Operational consistency across recurring projects
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A wide IGV view of HeLa ATAC-seq data compares untreated, DMSO, CKO, and KO conditions, showing sensitivity to open-chromatin gains in the KO and CKO conditions and extremely high replicate correlation.
This HeLa example shows untreated, DMSO, CKO, and KO ATAC-seq data, with high sensitivity to open-chromatin gains in the KO and CKO conditions and extremely high replicate correlation.

ATAC-Seq Kit: 16 Reaction Configuration

A scale-up configuration for larger sample sets, broader condition matrices, and sustained study operations while maintaining the same reproducible, high-quality workflow and QC checkpoints.

Epigenome Technologies kit packaging
ATAC-Seq Kit packaging
Order 16-Reaction Kit

What This Configuration Supports

  • Larger sample sets and extended study plans
  • Higher-volume comparative experiments
  • Routine profiling programs requiring throughput consistency
  • Operational efficiency with fewer reorder interruptions
Order 16-Reaction Kit

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Wide K562 IGV comparison showing EGT ATAC-seq signal alongside reference and alternative tracks
Representative K562 locus-level comparison for the 16-reaction configuration.

Ready to Launch or Scale Your Bulk ATAC Workflow?

Use the EGT ATAC-Seq Kit in 8-reaction or 16-reaction formats to generate reproducible, high-quality, high-complexity libraries for open-chromatin profiling, nucleosome positioning, and fragmentomics analysis, with validated low-viability handling guidance and scientist-backed implementation support.