StoreyLab/biobroom: Turn Bioconductor objects into tidy data frames

This package contains methods for converting standard objects constructed by bioinformatics packages, especially those in Bioconductor, and converting them to tidy data. It thus serves as a complement to the broom package, and follows the same the tidy, augment, glance division of tidying methods. Tidying data makes it easy to recombine, reshape and visualize bioinformatics analyses.

Getting started

Package details

AuthorAndrew J. Bass, David G. Robinson, Steve Lianoglou, Emily Nelson, John D. Storey, with contributions from Laurent Gatto
Bioconductor views DataImport DifferentialExpression GeneExpression MultipleComparison Proteomics Regression
MaintainerJohn D. Storey <> and Andrew J. Bass <>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
StoreyLab/biobroom documentation built on May 9, 2019, 3:09 p.m.