Vaccine & Immunogenicity Biostatistics
Analysis and reporting for vaccine studies and immunogenicity data: SAPs, clinical/laboratory integration, longitudinal response and QC.
Bioinformatics & Omics Data Analysis
We integrate molecular, cellular and digital biomarkers with clinical data to explore response, variability and subgroups in translational research. Technology, biological replication and processing status are assessed before quoting scope.
What is included
- Bulk RNA-seq and scRNA-seq: QC, differential expression, clustering and annotation according to available data.
- Genomics, DDA/DIA proteomics and metabolomics: assess the required analysis and technology-specific expertise.
- Normalisation, missing data, ORA/GSEA, co-expression networks and multi-omics integration as appropriate; biomarker selection and evaluation.
What you receive
- QC report and preprocessing decisions.
- Tables, visualisations and agreed functional analysis.
- Reproducible pipeline, limitations and validation criteria.
Frequently asked questions
Do you start from raw data or quantified matrices?
The scope distinguishes these starting points. Pipeline, technology, resources and expertise are confirmed before accepting raw processing. Cells are not automatically treated as independent biological replicates.
Related services
Assay Validation, Stability & Reproducibility Statistics
Statistical support for clinical laboratory assays: variability, reproducibility, stability, validation design and evaluation criteria.
Discuss your project
Describe the objective, study stage and deadline. We will confirm fit, deliverables, timing and a quote based on complexity and data quality.
Do not email patient, clinical or confidential study data. Access and the working environment are agreed before materials are shared.
Discuss your project