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RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

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Updated: Apr 30, 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

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RNASeqGUI: a GUI for analysing RNA-Seq data.

Francesco Russo¹, Claudia Angelini¹

¹Istituto per le Applicazoni del Calcolo, CNR, 80131, Napoli, Italy.

Bioinformatics (Oxford, England)

|May 10, 2014

Summary

This summary is machine-generated.

RNASeqGUI is a new R package offering a graphical interface for identifying differentially expressed genes. This tool simplifies complex RNA-Seq analyses for both new and experienced users.

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

RNA sequencing (RNA-Seq) is crucial for understanding gene expression.
Analyzing RNA-Seq data often requires expertise in command-line tools.
Existing methods can be complex for users with limited programming experience.

Purpose of the Study:

To introduce RNASeqGUI, an R package providing a graphical user interface (GUI) for RNA-Seq analysis.
To simplify the identification of differentially expressed genes across various biological conditions.
To offer a user-friendly alternative to command-line RNA-Seq tools.

Main Methods:

RNASeqGUI integrates established RNA-Seq analysis tools available on Bioconductor.
The package utilizes the RGTK2 graphical library for its interface.
It guides users through the entire gene expression analysis workflow.

Main Results:

RNASeqGUI provides an accessible graphical interface for RNA-Seq data analysis.
It enables users with limited command-line experience to perform complex analyses.
Expert R users benefit from accelerated execution of RNA-Seq methods.

Conclusions:

RNASeqGUI enhances the accessibility of differential gene expression analysis.
The package supports both novice and expert users in biological research.
It streamlines the process of identifying key genes in multiple conditions.