Overview
Long gene or feature lists become understandable once mapped to pathways, functions and regulatory regions.
Salient features
- Over-representation and rank-based methods
- Region-based enrichment for genomic intervals
- Clear plots and tables
Analyses we offer
Transcriptome data enrichment
Finds pathways and functions enriched among differentially expressed genes.
Methods: clusterProfiler, GSEApy, fgsea.
Genome data enrichment
Tests whether genomic regions are enriched near genes, pathways or annotations.
Methods: ChIPseeker, LOLA, rGREAT.
Epigenome data enrichment
Tests overlap of epigenomic regions with reference annotations and datasets.
Methods: LOLA, rGREAT, giggle.
Metabolome data enrichment
Maps metabolite changes to pathways and enriched metabolic processes.
Methods: MetaboAnalystR, mummichog, FELLA.
What you receive
- A written report with methods, parameters and interpretation
- Processed data tables and publication-quality figures
- Scripts and settings so every result can be reproduced
Not sure which analysis fits your data? Contact us and we will advise.