Single-cell & multi-omics analysis
Single-cell &
multi-omics analysis
Single-cell and multi-omics analysis for teams that need to understand what differs between groups — and what those differences can tell them.
Discuss your projectThe question we start with
Which cell populations, pathways and responses distinguish our experimental groups?
I start with the experimental design, available metadata and data quality. From there, we agree the comparisons and methods that can address your question, keeping biological replication, technical variation and uncertainty in view.
Methods and areas of expertise
Single-cell RNA-seq, scATAC-seq, bulk RNA-seq, spatial transcriptomics and immune repertoire analysis. Methods can include cell annotation, differential expression, pathway enrichment, chromatin accessibility and exploratory trajectory or cell–cell interaction analysis.
What you receive
- A QC assessment and clear record of analytical decisions
- Agreed analyses, annotated figures and result tables
- Written biological interpretation, limitations and suggested follow-up
- A findings discussion and reproducible code where included in scope
The exact inputs, deliverables, fee and milestones are agreed in a written scope before work starts.
A useful first step
Start with a focused review.
A dataset feasibility review can assess the available files and metadata, identify limitations and recommend a suitable analysis plan. A pilot can explore a specific comparison before expanding the scope.
Discuss your projectPublished research: lung ILC development
See how I contributed single-cell analysis to a collaborative immunology project.
View the research example ↗About me
I’m Dr Sophie Curio, a PhD immunologist with research experience at Imperial College London, Harvard Medical School and The University of Queensland, and a current part-time role in Carlo Pulitano’s group at the University of Sydney. I combine experimental context with computational expertise to evaluate what a result supports and what remains uncertain.
More about my background ↗Discuss your project
A research question, data type and preferred timeline are enough to start.
Discuss your project