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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...

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....

Sanger Sequencing

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...

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 23, 2026

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms

Published on: February 2, 2024

Alternative applications for distinct RNA sequencing strategies.

Leng Han, Kasey C Vickers, David C Samuels

Briefings in Bioinformatics

|September 24, 2014

Summary

High-throughput RNA sequencing (RNAseq) now surpasses microarrays for transcriptome analysis. RNAseq offers deep insights into gene expression, epigenetic regulation, and DNA variations, advancing genomic research.

Keywords:

RNAseq SNP data mining exogenous RNA mutation

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Last Updated: Apr 23, 2026

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Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

High-throughput RNA sequencing (RNAseq) has become the preferred method for mRNA profiling and transcriptome analysis.
Advances in library preparation, platform accessibility, and cost-efficiency have driven RNAseq adoption over microarrays.

Purpose of the Study:

To review the current state of transcriptome sequencing using RNAseq.
To discuss the diverse applications and capabilities of RNAseq in genomic analysis.

Main Methods:

Review of current RNA sequencing methodologies and technologies.
Analysis of RNAseq data for various applications including expression profiling, epigenetic analysis, and mutation detection.

Main Results:

RNAseq provides comprehensive transcriptome profiling for both long and short RNA species.
RNAseq enables assessment of transcriptional elongation, DNA variance, allele-specific expression, and somatic mutations.
Combining RNAseq and DNA sequencing offers powerful genomic analysis capabilities.

Conclusions:

RNAseq offers deeper insights into transcriptional regulation and output compared to traditional miRNA and mRNA profiling.
RNAseq is a versatile tool for identifying genetic variations and understanding complex biological processes.