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Related Experiment Video

Updated: May 20, 2026

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Published on: November 7, 2025

easyRNASeq: a bioconductor package for processing RNA-Seq data.

Nicolas Delhomme¹, Ismaël Padioleau, Eileen E Furlong

¹Genome Biology Computational Support, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany. delhomme@embl.de

Bioinformatics (Oxford, England)

|August 1, 2012

Summary

This summary is machine-generated.

easyRNASeq simplifies RNA sequencing data processing in R. This package streamlines complex analyses by integrating multiple Bioconductor tools, making RNA-Seq analysis more accessible.

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AQRNA-seq for Quantifying Small RNAs

AQRNA-seq for Quantifying Small RNAs

Published on: February 2, 2024

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Last Updated: May 20, 2026

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Published on: November 7, 2025

AQRNA-seq for Quantifying Small RNAs

AQRNA-seq for Quantifying Small RNAs

Published on: February 2, 2024

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

RNA sequencing (RNA-Seq) is a standard for gene expression profiling.
Numerous R packages exist for RNA-Seq data loading and differential expression analysis.
Complex processing steps between data loading and analysis require intricate package interplay.

Purpose of the Study:

To develop an R package simplifying RNA sequencing data processing.
To provide a user-friendly interface for complex RNA-Seq analysis workflows.

Main Methods:

Development of the 'easyRNASeq' R package.
Integration of multiple Bioconductor packages into a single functionality.
Implementation in R (version 2.15) and availability via Bioconductor (version 2.10).

Main Results:

The 'easyRNASeq' package simplifies the processing of RNA sequencing data.
It hides the complex interplay of underlying packages behind a single function.
Facilitates more accessible and efficient RNA-Seq data analysis.

Conclusions:

'easyRNASeq' enhances the usability of RNA sequencing analysis in R.
The package reduces the technical barrier for researchers analyzing gene expression data.
Promotes wider adoption and application of RNA-Seq in biological research.