Scientific programme
Biomarker discovery with public data
Participants can translate a biomarker question into a documented public-data search, screen candidate studies, assess metadata fitness and produce a cautious evidence brief.

Overview
Programme overview
Participants can translate a biomarker question into a documented public-data search, screen candidate studies, assess metadata fitness and produce a cautious evidence brief.
Audience
Who should attend
Researchers who want to locate, assess and reuse public functional-genomics studies to refine a biomarker question before commissioning new experiments.
Capability gained
Learning outcomes
- Define a searchable question using disease, tissue, organism, modality and study-design terms
- Locate relevant records in public functional-genomics repositories
- Distinguish study, sample, platform and processed-data records
- Assess metadata completeness, comparability, confounding and reuse constraints
- Create a reproducible study-screening table and inclusion rationale
- Conduct a bounded exploratory analysis on an approved public dataset
- Report evidence, limitations and next experiments without making a clinical claim
Structure
Curriculum
- 01From biomarker question to search protocol
- 02Repository structure: studies, samples, platforms and files
- 03Search strategy, accession tracking and provenance
- 04Metadata fitness, phenotype definitions and exclusion criteria
- 05Downloading approved public processed data and recording transformations
- 06Exploratory analysis and candidate-context visualisation
- 07Evidence brief: support, limitations and next questions
Preparation
Prerequisites
Basic R or equivalent data-analysis experience. Exercises use public, non-sensitive datasets selected and frozen before delivery.