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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...

Ribosome Profiling

Ribosome Profiling

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.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...

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Related Experiment Video

Updated: Apr 5, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Informatics for RNA Sequencing: A Web Resource for Analysis on the Cloud.

Malachi Griffith¹, Jason R Walker², Nicholas C Spies²

¹McDonnell Genome Institute, Washington University School of Medicine, St. Louis, Missouri, United States of America; Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, United States of America; Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America.

Plos Computational Biology

|August 7, 2015

Summary

This guide introduces RNA sequencing (RNA-seq) molecular biology and bioinformatics. Open-access tutorials and pipelines cover RNA-seq analysis, from quality control to differential expression and splicing.

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A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

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Last Updated: Apr 5, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

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

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Published on: April 8, 2017

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

Area of Science:

Molecular Biology
Bioinformatics
Genomics

Background:

Massively parallel RNA sequencing (RNA-seq) is a key technology for studying RNA.
Understanding RNA-seq requires knowledge of both molecular biology and computational analysis.
Existing resources for RNA-seq training are often fragmented or inaccessible.

Purpose of the Study:

To provide a comprehensive introduction to fundamental RNA-seq concepts.
To offer open-access tutorials covering the entire RNA-seq analysis workflow.
To make training resources, pipelines, and datasets readily available to researchers.

Main Methods:

Detailed explanation of RNA-seq molecular biology principles.
Introduction to essential bioinformatics concepts and tools for RNA-seq.
Development and provision of cloud-based tutorials and analysis pipelines.

Main Results:

Open-access tutorials are available covering cloud computing and tool installation.
Training materials include RNA-seq file formats, reference genomes, and annotation.
Methods for quality control, expression analysis, differential expression, and alternative splicing are detailed.

Conclusions:

Comprehensive RNA-seq training resources are now accessible.
The provided materials facilitate robust RNA-seq data analysis.
Researchers can utilize these resources for efficient transcriptomic studies.