Single-Cell & Systems Biology
Resolve cellular heterogeneity, map disease states, and find the biology bulk omics will never see.
What this service is
End-to-end single-cell and systems biology analytics — from QC and clustering through cell-type annotation, trajectory analysis, cell-cell communication, and integrative systems-level modelling.When you need it
Single-Cell Data Analysis
Have scRNA-seq, snRNA-seq, scATAC-seq, or multi-omic single-cell data and need expert analysis.
Multi-Omics Integration
Integrating single-cell with bulk RNA-seq for cross-validation.
Disease State Characterisation
Need cell-state characterisation in disease (immune profiling, tumour microenvironment, neurodegeneration).
Rare Cell Population Discovery
Identifying rare cell populations or transient cell states.
Target & Biomarker Discovery
Using single-cell data for target identification or precision-medicine biomarker discovery.
Publication-Ready Single-Cell Work
Publishing single-cell work and need defensible methodology and reviewer-ready figures.
Our methodology
Data QC (per-cell QC, doublet detection, mitochondrial/ribosomal filtering).
Pre-processing and integration across samples/batches.
Clustering and cell-type annotation (manual + automated).
Differential analysis (pseudo-bulk DE, subpopulation signatures).
Trajectory and pseudotime (Slingshot, Monocle3, scVelo).
Cell-cell communication (CellChat, NicheNet, LIANA).
Integration with bulk omics/perturbation data for translational endpoints.
Deliverables
Standards & tooling
Outputs are designed for journal submission and peer-review readiness (publication is not guaranteed).
Ready to move your manuscript forward?
Let's discuss your project timeline, journal strategy, and how our PhD-level writers can help.
Request a consultation
Tell us about your project and we'll reach out within 24 hours.
Ready to advance your research?
From hypothesis to peer-review — let's scope a tailored plan for your lab.
NDA protected · You own 100% of deliverables · Milestone-based