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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...

Next-generation Sequencing

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.

Genome Annotation and Assembly

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.

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 helps...

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Related Experiment Video

Updated: Jun 4, 2026

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved (Non-model) Organisms

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved (Non-model) Organisms

Published on: May 9, 2017

Sequencing transcriptomes in toto.

Karin S Kassahn¹, Nic Waddell, Sean M Grimmond

¹Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, Brisbane, Australia.

Integrative Biology : Quantitative Biosciences From Nano to Macro

|February 8, 2011

Summary

This summary is machine-generated.

Next-generation sequencing, or RNA-Seq, revolutionizes transcriptomics by enabling comprehensive transcriptome analysis. This technology offers unprecedented insights into gene expression and RNA sequences.

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Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

Next-generation sequencing (NGS) technologies have dramatically advanced biological research.
Traditional methods for transcriptome analysis have limitations in scope and resolution.

Purpose of the Study:

To discuss the current capabilities and applications of RNA-Seq.
To highlight the potential of RNA-Seq in redefining transcriptomics.
To identify challenges associated with RNA-Seq implementation.

Main Methods:

RNA-Seq utilizes shotgun sequencing of RNA molecules.
Simultaneous surveying of locus activity, transcript expression, and sequence content.
Analysis of the overall transcriptome.

Main Results:

RNA-Seq provides a comprehensive view of the transcriptome.
Enables simultaneous measurement of multiple transcriptomic features.
Facilitates discovery of novel transcripts and isoforms.

Conclusions:

RNA-Seq is a transformative technology in transcriptomics.
It offers unprecedented potential for biological discovery.
Addressing current challenges will further enhance its utility.