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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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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.

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Related Experiment Video

Updated: Mar 26, 2026

Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets

Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets

Published on: February 23, 2024

Analysis of Whole Transcriptome Sequencing Data: Workflow and Software.

In Seok Yang¹, Sangwoo Kim¹

¹Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul 03722, Korea.

Genomics & Informatics

|February 12, 2016

Summary

This summary is machine-generated.

This review covers RNA sequencing (RNA-seq) workflows and bioinformatics software. It focuses on transcriptome reconstruction and gene expression quantification for biological research.

Keywords:

bioinformatics tools gene expression high-throughput RNA sequencing transcript

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Area of Science:

Molecular Biology
Bioinformatics
Genomics

Background:

Ribonucleic acid (RNA) plays crucial roles in gene expression, including coding, decoding, regulation, and expression.
Whole transcriptome sequencing (RNA-seq) is a key technology for analyzing RNA.
RNA-seq facilitates the characterization and quantification of the transcriptome.

Purpose of the Study:

To introduce standard RNA sequencing (RNA-seq) workflows.
To highlight relevant bioinformatics software for RNA-seq analysis.
To focus on transcriptome reconstruction and expression quantification.

Main Methods:

Review of established RNA sequencing protocols.
Survey of current bioinformatics tools for transcriptome analysis.
Emphasis on computational methods for RNA-seq data.

Main Results:

A comprehensive overview of the RNA-seq pipeline.
Identification of key software for transcriptome reconstruction.
Detailed explanation of expression quantification techniques.

Conclusions:

RNA-seq is vital for understanding gene expression.
Bioinformatics software is essential for RNA-seq data analysis.
This review provides a guide for researchers using RNA-seq.