hypeR: an R package for geneset enrichment workflows

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. W...

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Published in:Bioinformatics 2020-02, Vol.36 (4), p.1307-1308
Main Authors: Federico, Anthony, Monti, Stefano
Format: Article
Language:English
Subjects:
Applications Notes
High-Throughput Nucleotide Sequencing
Software
Workflow
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container_title Bioinformatics
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creator Federico, Anthony
Monti, Stefano
description 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.
doi_str_mv 10.1093/bioinformatics/btz700
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subjects Applications Notes
High-Throughput Nucleotide Sequencing
Software
Workflow
title hypeR: an R package for geneset enrichment workflows
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