We have hosted the application clusterprofiler in order to run this application in our online workstations with Wine or directly.


Quick description about clusterprofiler:

clusterProfiler is an R/Bioconductor package that provides a unified workflow for functional enrichment analysis to interpret high-throughput omics results. It supports both over-representation analysis and gene set enrichment analysis, letting you work with unranked gene lists or ranked statistics from differential pipelines. The package connects to multiple knowledge bases�such as Gene Ontology, KEGG, Reactome, Disease Ontology, MeSH and others�through a consistent interface so you can query different biological lenses without rewriting code. It is designed for breadth, covering coding and non-coding features and thousands of organisms by leveraging continuously updated annotations. Results are returned in tidy, manipulation-friendly structures and pair naturally with rich visualization functions (via companion tooling) to summarize pathways, terms, and gene�set relationships.

Features:
  • Unified ORA and GSEA workflows across multiple annotation sources
  • Broad species support using up-to-date gene annotations
  • Tidy outputs that integrate cleanly with downstream R data pipelines
  • Built-in visualization of enrichment results through companion plotting tools
  • Multi-group comparison utilities (e.g., compareCluster) for cross-condition analysis
  • Detailed vignettes and manuals for reproducible, end-to-end enrichment studies


Programming Language: R.
Categories:
Data Analytics

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