Differential Gene Expression Pipelines
Genomics · DEG Analysis · 2025–2026
Differential Gene Expression Pipelines
DEG analysis pipelines for two disease contexts: lung cancer and asthma.
Both pipelines follow a reproducible workflow from raw count data through to biological interpretation.
Lung Cancer Pipeline
- Identified a set of significantly dysregulated genes associated with lung tumour biology.
- Generated reproducible analytical pipelines for transcriptomic biomarker discovery.
- Demonstrated the utility of publicly available genomic datasets for cancer research.
- Significance: the identification of differentially expressed genes may contribute to future biomarker discovery efforts and improve understanding of molecular pathways involved in lung cancer development and progression.
Asthma Pipeline
- Identified genes significantly altered following corticosteroid treatment.
- Generated functional enrichment profiles highlighting biological processes affected by therapy.
- Developed a fully reproducible transcriptomic workflow for asthma treatment response analysis.
- Significance: understanding molecular signatures associated with treatment response may contribute to personalised [NEEDS YOUR INPUT — see note below].
Both pipelines are fully documented and reproducible in R.
Key tools: R · DESeq2 · limma · GEO