mkdocs/docs/index.md

In aiminy/ModifiedclusterProfiler: statistical analysis and visualization of functional profiles for genes and gene clusters

The clusterProfiler package implements methods to analyze and visualize functional profiles of genomic coordinates (supported by ChIPseeker), gene and gene clusters.

clusterProfiler is released within the Bioconductor project and the source code is hosted on GitHub.

Author

Guangchuang Yu, School of Public Health, The University of Hong Kong.

Citation

Please cite the following article when using clusterProfiler:

Yu G, Wang L, Han Y and He Q*. clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS: A Journal of Integrative Biology. 2012, 16(5):284-287.

Featured Articles

Find out more on Featured Articles.

Installation

Install clusterProfiler is easy, follow the guide on the Bioconductor page:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
## biocLite("BiocUpgrade") ## you may need this
biocLite("clusterProfiler")

Overview

Supported Analyses

• Over-Representation Analysis
• Gene Set Enrichment Analysis
• Biological theme comparison

Supported ontologies/pathways

• Disease Ontology (via DOSE)
• Network of Cancer Gene (via DOSE)
• DisGeNET (via DOSE)
• Gene Ontology (supports many species with GO annotation query online via AnnotationHub)
• KEGG Pathway and Module with latest online data (supports more than 4000 species listed in http://www.genome.jp/kegg/catalog/org_list.html)
• MeSH enrichment analysis (via meshes)
• Reactome Pathway (via ReactomePA)
• DAVID (via RDAVIDWebService)
• Molecular Signatures Database
  • hallmark gene sets
  • positional gene sets
  • curated gene sets
  • motif gene sets
  • computational gene sets
  • GO gene sets
  • oncogenic signatures
  • immunologic signatures
• Other Annotations
  • from other sources (e.g. DisGeNET as an example)
  • user's annotation
  • customized ontology
  • and many others

Visualization

• barplot
• cnetplot
• dotplot
• enrichMap
• gseaplot
• plotGOgraph (via topGO package)
• upsetplot

Useful utilities:

• bitr (Biological Id TranslatoR)
• compareCluster (biological theme comparison)
• dropGO (screen out GO term of specific level or specific term)
• go2ont (convert GO ID to Ontology)
• go2term (convert GO ID to descriptive term)
• gofilter (restrict result at specific GO level)
• gsfilter (restrict result by gene set size)
• simplify (remove redundant GO terms, supported via GOSemSim)

Find out details and examples on Documentation.

Related Tools

• DOSE for Disease Ontology Semantic and Enrichment analyses
• GOSemSim for GO semantic similarity measurement
• meshes for MeSH Enrichment and Semantic analysis
• ReactomePA for Reactome pathway analysis

Find out more on projects.

Projects that depend on clusterProfiler

Bioconductor packages

• bioCancer: Interactive Multi-Omics Cancers Data Visualization and Analysis
• debrowser: Interactive Differential Expresion Analysis Browser
• eegc: Engineering Evaluation by Gene Categorization (eegc)
• LINC: co-expression of lincRNAs and protein-coding genes
• MoonlightR: Identify oncogenes and tumor suppressor genes from omics data

Other applications

• APOSTL: An Interactive Galaxy Pipeline for Reproducible Analysis of Affinity Proteomics Data

Feedback

• Please make sure you follow the guide before posting any issue/question
• For bugs or feature requests, please post to github issue
• For user questions, please post to Bioconductor support site and Biostars. We are following every post tagged with clusterProfiler
• Join the group chat on and

aiminy/ModifiedclusterProfiler documentation built on May 10, 2019, 7:37 a.m.