Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

RNA-seq03:21

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...
Ribosome Profiling02:24

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...
Next-generation Sequencing03:00

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.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The Vertebrate Genomes Project Phase I: A global reference genome resource.

bioRxiv : the preprint server for biology·2026
Same author

N-MIX: an in silico framework for predicting ADAM10-mediated substrate cleavage sites through structural and spatial analysis of protease-substrate interactions.

Scientific reports·2026
Same author

Population-scale Y chromosome assemblies reveal recurrent remodeling within constrained architectures.

bioRxiv : the preprint server for biology·2026
Same author

Machine Learning Reveals the Contribution of Rare Genetic Variants and Enhances Risk Prediction for Coronary Artery Disease in the Japanese Population.

Circulation. Genomic and precision medicine·2026
Same author

The complete genome of the KOLF2.1J reference iPSC line.

bioRxiv : the preprint server for biology·2026
Same author

Biobank-scale genotyping of Robertsonian translocations reveals hidden structural variation on the human acrocentric chromosomes.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: May 25, 2026

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
05:07

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Published on: November 7, 2025

FX: an RNA-Seq analysis tool on the cloud.

Dongwan Hong1, Arang Rhie, Sung-Soo Park

  • 1Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul.

Bioinformatics (Oxford, England)
|January 20, 2012
PubMed
Summary

FX is a cloud-based RNA-Seq analysis tool for gene expression and variant calling. It improves read mapping accuracy by prioritizing transcriptome references, reducing misalignments.

More Related Videos

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
11:52

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

Related Experiment Videos

Last Updated: May 25, 2026

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
05:07

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Published on: November 7, 2025

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
11:52

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • FX is a novel RNA-Seq analysis tool designed for gene expression and variant calling.
  • It leverages cloud computing infrastructure for parallel processing.
  • The tool is freely available online and can be installed on local Hadoop clusters.

Purpose of the Study:

  • To present FX, an RNA-Seq analysis tool.
  • To highlight its efficient read mapping strategy.
  • To emphasize its user-friendly web interface and cloud-based accessibility.

Main Methods:

  • FX employs a parallel processing approach on cloud infrastructure.
  • It utilizes a transcriptome-based reference for initial short RNA-Seq read mapping.
  • Unmapped reads are subsequently mapped to the human genome reference.

Main Results:

  • The transcriptome-based mapping approach effectively reduces read misalignments from splicing junctions.
  • FX enables accurate gene expression level estimation.
  • Genomic variant calling is also supported.

Conclusions:

  • FX offers an efficient and accurate solution for RNA-Seq data analysis.
  • Its cloud-based nature and user-friendly interface facilitate accessibility.
  • The tool aids in advancing genomic research through improved RNA-Seq analysis.