2016 | Maxim V. Kuleshov, Matthew R. Jones, Andrew D. Rouillard, Nicolas F. Fernandez, Qiaonan Duan, Zichen Wang, Simon Koplev, Sherry L. Jenkins, Kathleen M. Jagodnik, Alexander Lachmann, Michael G. McDermott, Caroline D. Monteiro, Gregory W. Gundersen and Avi Ma'ayan
Enrichr is a comprehensive gene set enrichment analysis tool that has been updated to include new features and data sets. The tool currently contains 180,184 annotated gene sets from 102 gene set libraries. New features include the ability to submit fuzzy sets, upload BED files, an improved application programming interface (API), enhanced help documentation, and visualization of results as clustergrams. Enrichr also includes a 'Crowd' category, which contains gene sets curated through a crowdsourcing project. The tool has been benchmarked against other enrichment analysis methods, and its performance is generally superior. Enrichr is freely available and can be deployed using Docker, Mesos, and Marathon. The tool aims to provide a user-friendly interface for gene set enrichment analysis and facilitate biological discoveries.Enrichr is a comprehensive gene set enrichment analysis tool that has been updated to include new features and data sets. The tool currently contains 180,184 annotated gene sets from 102 gene set libraries. New features include the ability to submit fuzzy sets, upload BED files, an improved application programming interface (API), enhanced help documentation, and visualization of results as clustergrams. Enrichr also includes a 'Crowd' category, which contains gene sets curated through a crowdsourcing project. The tool has been benchmarked against other enrichment analysis methods, and its performance is generally superior. Enrichr is freely available and can be deployed using Docker, Mesos, and Marathon. The tool aims to provide a user-friendly interface for gene set enrichment analysis and facilitate biological discoveries.