ATAC-sequencing Analysis
ATAC-seq (Assay for Transposase-Accessible Chromatin using sequencing) provides a rapid, sensitive, genome-wide view of chromatin accessibility—revealing the regulatory landscape of a cell or tissue with relatively low input material. As the technique becomes increasingly routine, ATAC-seq has become a powerful and accessible tool for studying gene regulation, transcription factor binding, and chromatin remodelling across a wide range of biological systems.
For many groups, the challenge lies not in generating the data, but in processing and interpreting it correctly. ATAC-seq carries specific analytical considerations—including mitochondrial read filtering, nucleosome-based fragment size assessment, and careful normalisation—that require expert handling to produce reliable, publication-ready results. At Porter-Turnbull Genomics Consultancy, we ensure your chromatin accessibility data is analysed rigorously and interpreted in its full biological context.
How Projects Run
All ATAC-seq projects are scoped individually to ensure the analysis strategy is appropriate for the experimental system, sample type, and biological question.
Initial project planning meeting
An online discussion to review experimental design, controls, sequencing depth, and analytical objectives before any processing begins.
Transparent, reproducible analysis
All analyses are performed using documented, reproducible workflows, with clear communication around key decisions such as mitochondrial filtering thresholds, peak calling parameters, and normalisation strategy.
Results review and next steps
A final meeting to walk through results, visualisations, and biological interpretation, with guidance on follow-up analyses, validation, or publication preparation.
Raw Data Processing
Starting from £40 per sample
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Processing of paired-end ATAC-seq data using reproducible pipelines built with Conda, Python, and Snakemake
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Alignment to the appropriate reference genome using Bowtie2
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Comprehensive quality control including FASTQC summaries, alignment metrics, mitochondrial read assessment, and fragment size distribution
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Removal of duplicates, mitochondrial reads, and ENCODE blacklist regions
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Nucleosome-free region (NFR) and mono-nucleosomal fragment separation
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Peak calling using MACS2 optimised for ATAC-seq data
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IDR analysis to identify reproducible peaks across biological replicates
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Generation of normalised BigWig files for interactive genome browser visualisation
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Fixed software versions and fully documented parameters to ensure reproducibility
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Standard pipelines that can be customised to assay type or experimental design
Basic Differential Gene Expression Analysis
Processing + basic analysis from £70 per sample
Includes everything in Raw data processing, plus:
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Annotation of accessible peaks to genomic features (promoters, enhancers, intronic and intergenic regions)
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TSS enrichment scoring and library quality assessment
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Signal heatmaps and average profiles at transcription start sites and peak centres
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Genome browser snapshots for representative loci
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Comparative peak overlap analysis between conditions
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Clear, annotated results tables summarising accessibility statistics
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Results meeting to discuss findings, interpretation, and biological relevance
Advanced Analysis
Processing + basic + advanced analysis from £110 per sample
Includes everything in Basic accessibility analysis, plus:
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Differential chromatin accessibility analysis between conditions using DESeq2
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Transcription factor motif enrichment analysis using HOMER and/or MEME-suite
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ChromVAR-based inference of transcription factor activity across samples
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Integration with RNA-seq, ChIP-seq, or other omics data where available
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Nucleosome positioning and chromatin state analysis
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Pathway or gene-set enrichment analysis based on accessibility-associated genes
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Iterative development of publication-ready figures and supplementary materials
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Support with biological interpretation and results framing
Packages are available for complete project support, from raw data processing through to publication-ready results.
All prices are indicative and may vary depending on experimental design, dataset size, species, and analytical scope. Academic and multi-sample project discounts are available.