Experimental design
Guidance on study design, replication, and data acquisition strategy to ensure results are statistically robust and biologically meaningful.
ASM Sciences
Quantitative data analysis for proteomics and life sciences
A consultancy specialising in quantitative data analysis and statistical methods for life sciences research. From raw mass spectrometry data to publication-ready results, the focus is on robust methods, clear interpretation, and reproducible outputs. The service is particularly well suited to projects where standard analysis pipelines do not fully address experimental complexity.
Please include a brief description of your dataset, research question, and timeline.
Services
Data analysis
Quantitative and statistical analysis of raw, partially processed, or previously analysed datasets, with an emphasis on methodological rigour and biologically meaningful interpretation.
Reporting & interpretation
Figure generation, statistical reporting, and support for manuscripts, peer review, and data presentation.
End-to-end support
A complete service from project planning through to final outputs, helping maintain consistency and quality across the workflow.
Why ASM Sciences
ASM Sciences is an independent consultancy with over a decade of experience in proteomics, sequencing, and experimental biology.
- Experience handling complex experimental designs with multiple confounding variables
- Focus on rigorous statistical modelling beyond standard pipeline outputs
- Ability to work with large-scale, high-throughput datasets across academic and applied research settings
- Experience supporting publication, data deposition, grant applications, and related research outputs
Example work
Case studies and example analyses are currently being prepared.
In the meantime, enquiries are welcome to discuss your dataset and how similar projects have been approached.
How it works
- Initial discussion of your project, data, and goals with no obligation
- Scope definition and quotation
- Analysis, interpretation, and reporting
- Optional follow-up support for revisions, peer review, or further work
Contact
Get in touch to discuss your dataset and project goals.
Include a brief description of your data, research question, and timeline.