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

10.4K
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...
10.4K

You might also read

Related Articles

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

Sort by
Same author

Cardiovascular-kidney-metabolic syndrome stage modifies the efficacy of intensive blood pressure control on cognitive outcomes: A post hoc analysis of SPRINT MIND.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

A multi-task deep learning framework for simultaneous prediction of microsatellite instability and tumor mutational burden in gastric cancer from histopathological images.

Frontiers in oncology·2026
Same author

MCLAM: a cost-effective deep learning model for predicting recurrence risk in HR+/HER2- breast cancer-a multi-center study in a Chinese cohort.

Journal of the National Cancer Center·2026
Same author

ACADM-mediated fatty acid β-oxidation pathway in atherosclerosis and abdominal aortic aneurysm.

European heart journal·2026
Same author

Synergistic antioxidant and gene supplementation for high-efficacy retinitis pigmentosa therapy.

Science advances·2026
Same author

Characterization of telomere-related gene subtypes in lung adenocarcinoma and their implications for prognosis and treatment.

Discover oncology·2026
Same journal

Transcriptomic analysis reveals FcγR-mediated phagocytosis as a key pathway for the anti-inflammatory action of <i>Polygonatum sibiricum</i> polysaccharides in loach.

Frontiers in genetics·2026
Same journal

A novel <i>ABO</i> splice site variant underlying the A<sub>3</sub> phenotype: immunogenetic basis and functional dissection.

Frontiers in genetics·2026
Same journal

Case Report: Identification of two novel <i>ALMS1</i> variants in a patient with a ciliopathy resembling Alström syndrome.

Frontiers in genetics·2026
Same journal

Integrative analysis identifies Hspa5 as a key regulator of the ERS/UPR-immune axis in spinal cord injury.

Frontiers in genetics·2026
Same journal

Evaluation of genomic selection to improve survival of eastern oysters infected with <i>Perkinsus marinus</i>.

Frontiers in genetics·2026
Same journal

A rescue assay for genetic diagnosis of oculocutaneous albinism using melanocytic MNT1 knock-out cells.

Frontiers in genetics·2026
See all related articles

Related Experiment Video

Updated: Sep 8, 2025

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

38.4K

Editorial: Machine Learning-Based Methods for RNA Data Analysis

Lihong Peng1,2, Jialiang Yang3, Minxian Wang4,5

  • 1College of Life Sciences and Chemistry, Hunan University of Technology, Zhuzhou, China.

Frontiers in Genetics
|June 13, 2022
PubMed
Summary

No abstract available in PubMed .

Keywords:
circRNAgene expressionlncRNAmRNAmachine learningmicroRNA

More Related Videos

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

12.2K
Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
12:44

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

12.4K

Related Experiment Videos

Last Updated: Sep 8, 2025

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

38.4K
Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

12.2K
Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
12:44

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

12.4K