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hypeR: An R Package for Geneset Enrichment Workflows

Anthony Federico, View ORCID ProfileStefano Monti
doi: https://doi.org/10.1101/656637
Anthony Federico
1Bioinformatics Program, Boston University, Boston, MA 02118, USA
2Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA 02118, USA
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  • For correspondence: anfed@bu.edu smonti@bu.edu
Stefano Monti
1Bioinformatics Program, Boston University, Boston, MA 02118, USA
2Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA 02118, USA
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  • ORCID record for Stefano Monti
  • For correspondence: anfed@bu.edu smonti@bu.edu
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ABSTRACT

Summary Geneset enrichment is a popular method for annotating high-throughput sequencing data. Existing tools fall short in providing the flexibility to tackle the varied challenges researchers face in such analyses, particularly when analyzing many signatures across multiple experiments. We present a comprehensive R package for geneset enrichment workflows that offers multiple enrichment, visualization, and sharing methods in addition to novel features such as hierarchical geneset analysis and built-in markdown reporting. hypeR is a one-stop solution to performing geneset enrichment for a wide audience and range of use cases.

Availability and implementation The most recent version of the package is available at https://github.com/montilab/hypeR.

Supplementary information Comprehensive documentation and tutorials, are available at https://montilab.github.io/hypeR-docs.

Footnotes

  • https://montilab.github.io/hypeR-docs/

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted September 03, 2019.
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hypeR: An R Package for Geneset Enrichment Workflows
Anthony Federico, Stefano Monti
bioRxiv 656637; doi: https://doi.org/10.1101/656637
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hypeR: An R Package for Geneset Enrichment Workflows
Anthony Federico, Stefano Monti
bioRxiv 656637; doi: https://doi.org/10.1101/656637

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