Ideal: an R/Bioconductor package for interactive differential expression analysis.

ABSTRACT:

Background

RNA sequencing (RNA-seq) is an ever increasingly popular tool for transcriptome profiling. A key point to make the best use of the available data is to provide software tools that are easy to use but still provide flexibility and transparency in the adopted methods. Despite the availability of many packages focused on detecting differential expression, a method to streamline this type of bioinformatics analysis in a comprehensive, accessible, and reproducible way is lacking.

Results

We developed the ideal software package, which serves as a web application for interactive and reproducible RNA-seq analysis, while producing a wealth of visualizations to facilitate data interpretation. ideal is implemented in R using the Shiny framework, and is fully integrated with

SUBMITTER: Marini F 

PROVIDER: S-EPMC7724894 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature