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

9.4K
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...
9.4K
Ribosome Profiling02:24

Ribosome Profiling

3.2K
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...
3.2K

You might also read

Related Articles

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

Sort by
Same author

In Situ Biosynthesis of Fluorescent Platinum Nanoclusters: Toward Self-Bioimaging-Guided Cancer Theranostics.

ACS applied materials & interfaces·2015
Same author

Deficiency in lysophosphatidylcholine acyltransferase 3 reduces plasma levels of lipids by reducing lipid absorption in mice.

Gastroenterology·2015
Same author

Correlating bladder cancer risk genes with their targeting microRNAs using MMiRNA-Tar.

Genomics, proteomics & bioinformatics·2015
Same author

Bio-imaging and Photodynamic Therapy with Tetra Sulphonatophenyl Porphyrin (TSPP)-TiO2 Nanowhiskers: New Approaches in Rheumatoid Arthritis Theranostics.

Scientific reports·2015
Same author

Plasma-enhanced microwave solid-state synthesis of cadmium sulfide: reaction mechanism and optical properties.

Dalton transactions (Cambridge, England : 2003)·2015
Same author

Association Between Dosage Frequency and the Treatment Outcomes of Sildenafil in Young and Middle-aged Men With Erectile Dysfunction: A Chinese, Multicenter, Observational Study.

Urology·2015
Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026
Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026
Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026
Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026
Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026
Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026
See all related articles

Related Experiment Video

Updated: May 5, 2026

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
10:10

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

42.7K

rSeqDiff: detecting differential isoform expression from RNA-Seq data using hierarchical likelihood ratio test.

Yang Shi1, Hui Jiang

  • 1Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, United States of America.

Plos One
|November 22, 2013
PubMed
Summary
This summary is machine-generated.

rSeqDiff is a new algorithm that detects differential gene expression and splicing from RNA-Seq data. It accurately identifies genes with expression changes, splicing alterations, or both, improving analysis of complex transcriptomes.

More Related Videos

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
08:35

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

5.9K
Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

1.1K

Related Experiment Videos

Last Updated: May 5, 2026

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
10:10

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

42.7K
Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
08:35

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

5.9K
Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

1.1K

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • High-throughput RNA sequencing (RNA-Seq) is crucial for studying gene expression.
  • Existing methods often focus on transcript-level differential expression, potentially missing complex gene regulation.
  • Accurate detection of differential splicing alongside differential expression is needed.

Purpose of the Study:

  • To develop an efficient algorithm, rSeqDiff, for detecting differential gene expression and differential splicing from RNA-Seq data.
  • To differentiate between genes with no differential expression, differential expression without splicing changes, and differential splicing.
  • To provide a robust statistical framework for analyzing complex RNA-Seq experiments.

Main Methods:

  • rSeqDiff employs statistical models for three distinct gene expression/splicing scenarios.
  • Hierarchical likelihood ratio tests are used for model selection.
  • The approach is implemented as an R package for accessibility.

Main Results:

  • Simulation studies confirm rSeqDiff's high power in detecting differentially expressed and spliced genes.
  • Comparisons on real RNA-Seq datasets show accurate isoform abundance estimation.
  • The method yields biologically meaningful rankings for differentially spliced genes.

Conclusions:

  • rSeqDiff offers a comprehensive approach to analyzing differential expression and splicing in RNA-Seq data.
  • The algorithm improves upon existing methods by considering multiple regulatory scenarios.
  • rSeqDiff provides a valuable tool for researchers investigating gene regulation at multiple levels.