Anthony Federico1,2, Stefano Monti1,2. 1. Bioinformatics Department, Boston University, Boston, MA 02118, USA. 2. Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA 02118, USA.
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.
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.
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