How our service models support your spatial epigenomics workflow

Both service models follow the same core workflow. The difference is how much analysis, interpretation, and project support you want from the AtlasXomics team.

White Glove Service

✓For first projects, pilots, and full support

AtlasXomics manages your project end-to-end—from study design to data interpretation—so your team can focus on biological insight rather than building infrastructure.

1
Meet with our experts
Full project planning session to define ROIs, cohorts, scientific questions, and experimental strategy.
2
Sample optimization & qualification
We perform sample or antibody qualification with our AtlasVerify assay and provide a formal go/no-go recommendation.
3
Spatial analysis & shallow sequencing QC
AtlasXomics performs spatial profiling, prepares libraries, and runs shallow sequencing QC as a checkpoint before deep sequencing.
4
Deep sequencing & data processing
Includes deep sequencing and complete primary processing using established open-source pipelines, delivering curated spatial data packages.
5
Deep analysis & interactive exploration
We deliver analysis using frameworks such as Seurat, ArchR, and SNAPATAC2, plus cloud-based interactive exploration and scientific interpretation.

Standard Service

☆For teams experienced in working with spatial epigenomic data

AtlasXomics performs the assay and QC while your internal team retains control over sequencing, computational pipelines, and data interpretation.

1
Align on study design
A focused planning call to confirm samples, ROIs, assay type, and sequencing strategy.
2
Sample optimization & qualification (optional)
Optional AtlasVerify qualification to assess feasibility before proceeding with the full assay.
3
Spatial analysis & shallow sequencing QC
We perform spatial profiling, prepare libraries, and run shallow sequencing QC to confirm performance.
4
Deep sequencing & primary processing (optional)
Optional deep sequencing and primary processing to generate spatial folders and fragment files compatible with open-source tools.
5
Your own downstream analysis
Your internal bioinformatics team performs integration, visualization, and interpretation using their preferred pipelines.

Contact Us

Have questions or interested in collaborating? We’d love to hear from you.

Get in Touch ↗