hypeR: an R package for geneset enrichment workflows | Zendy

Anthony Federico | Zendy; Stefano Monti | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

hypeR: an R package for geneset enrichment workflows

Author(s) -

Anthony Federico,

Stefano Monti

Publication year - 2019

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btz700

Subject(s) - workflow , computer science , r package , visualization , flexibility (engineering) , throughput , range (aeronautics) , data mining , data science , software engineering , database , operating system , programming language , statistics , mathematics , wireless , materials science , composite material

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research