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clusterProfiler download for Windows

Free download clusterProfiler Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named clusterProfiler whose latest release can be downloaded as clusterProfilersourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named clusterProfiler with OnWorks for free.

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- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

SCREENSHOTS

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clusterProfiler


DESCRIPTION

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

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This is an application that can also be fetched from https://sourceforge.net/projects/clusterprofiler.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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