title: clusterProfiler: an R package for comparing biological themes among gene clusters.
abstract: Increasing quantitative data generated from transcriptomics and proteomics require integrative strategies for analysis. Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently, clusterProfiler supports three species, including humans, mice, and yeast. Methods provided in this package can be easily extended to other species and ontologies. The clusterProfiler package is released under Artistic-2.0 License within Bioconductor project. The source code and vignette are freely available at http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html.
authors.affiliation: Institute of Life and Health Engineering, Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Jinan University, Guangzhou, People's Republic of China.
authors.forename: Guangchuang
authors.initials: G
authors.lastname: Yu
authors.forename: Li-Gen
authors.initials: LG
authors.lastname: Wang
authors.forename: Yanyan
authors.initials: Y
authors.lastname: Han
authors.forename: Qing-Yu
authors.initials: QY
authors.lastname: He
mesh_terms: D000818:Animals; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D051379:Mice; D005810:Multigene Family; D011381:Programming Languages; D040901:Proteomics / Q000379:methods*; D012984:Software; D059467:Transcriptome; D015003:Yeasts