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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 microarray-based...

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
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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

Transcriptomics in Space: A Basic R Pipeline for Analyzing Bulk RNA-Sequencing Data.

Gbolaga O Olanrewaju^1,2, Nathaniel J Szewczyk^1,2, Craig R G Willis³

¹Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, USA.

Methods in Molecular Biology (Clifton, N.J.)

|May 18, 2026

Summary

This summary is machine-generated.

Analyzing spaceflight

Keywords:

Bioinformatics Omics R RNA-seq RStudio Spaceflight Transcriptomics

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Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Published on: April 8, 2017

Area of Science:

Space life sciences
Big data biology
Transcriptomics

Background:

Spaceflight research generates large-scale omics data.
Understanding health decline in space is crucial.
Transcriptomics offers insights into spaceflight maladaptation.

Purpose of the Study:

To present a basic pipeline for analyzing bulk RNA-sequencing data.
To demonstrate the pipeline using real spaceflight experiment data.
To provide a reusable R code script for transcriptomics analysis.

Main Methods:

Utilized bulk RNA-sequencing data from a spaceflight experiment.
Developed and applied an R-based analysis pipeline.
Leveraged R, a programming tool for transcriptomics.

Main Results:

The pipeline successfully analyzes bulk RNA-sequencing data.
Demonstrated transcriptome-wide dysregulation in spaceflight.
Provided a functional code script for transcriptomics analysis.

Conclusions:

Bulk RNA-sequencing is a powerful tool for spaceflight research.
The provided pipeline facilitates transcriptomics data analysis.
This resource aids in understanding spaceflight-induced biological changes.