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

12.5K
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...
12.5K
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

10.1K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
10.1K
Rous Sarcoma Virus (RSV) and Cancer01:03

Rous Sarcoma Virus (RSV) and Cancer

6.6K
Rous Sarcoma virus or RSV was discovered by F. Peyton Rous in the year 1911 as a filterable transmissible agent that could cause tumors in chickens. He won a Nobel Prize for this discovery in 1966. His experiments clearly demonstrated that some cancers could be caused by infectious agents and led to the discovery of many more cancer-causing viruses in animals as well as humans.
RSV is a retrovirus that contains two copies of a plus-strand  RNA genome. Its genome consists of four main open...
6.6K

You might also read

Related Articles

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

Sort by
Same author

The role of miR-335-5p in the redifferentiation of BRAF p.V600E thyroid cancers.

Molecular oncology·2026
Same author

Exploring differential gene correlations in <i>Arabidopsis thaliana</i> for sustainable space farming.

Biotechnology reports (Amsterdam, Netherlands)·2026
Same author

Clinical characteristics and drug-drug interactions in human epidermal growth factor receptor 2-positive breast cancer treated with trastuzumab deruxtecan: real-world data from the DE-REAL study.

The oncologist·2026
Same author

Neural Latent Filtering for Gene Discovery in Breast Cancer Subtypes.

Biotechnology reports (Amsterdam, Netherlands)·2026
Same author

Caspase-8 is a novel modulator of Homologous Recombination Repair in response to ionizing radiations in glioblastoma.

Cancer letters·2025
Same author

Prioritizing repurposable drugs for Alzheimer's disease using network-based analysis with concurrent assessment of Long QT syndrome risk.

Biotechnology reports (Amsterdam, Netherlands)·2025
Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026
Same journal

KASSPer: Kinase Active Site Structure Prediction using Protein and Ligand Language Models and Its Application to Virtual Screening.

Bioinformatics (Oxford, England)·2026
Same journal

IDR searcher: a search engine solution for public image resources.

Bioinformatics (Oxford, England)·2026
Same journal

KCFtools: Rapid alignment-free method for introgression screening and GWAS using k-mer profiles.

Bioinformatics (Oxford, England)·2026
Same journal

Meta2DB: Curated shotgun metagenomic feature sets and metadata for health state prediction.

Bioinformatics (Oxford, England)·2026
Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026
See all related articles

Related Experiment Video

Updated: Mar 31, 2026

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

11.0K

CAMUR: Knowledge extraction from RNA-seq cancer data through equivalent classification rules.

Valerio Cestarelli1, Giulia Fiscon2, Giovanni Felici1

  • 1Institute of Systems Analysis and Computer Science - National Research Council, 00185, Rome, Italy.

Bioinformatics (Oxford, England)
|November 1, 2015
PubMed
Summary
This summary is machine-generated.

We developed CAMUR, a novel method for RNA-seq gene expression analysis. CAMUR extracts multiple classification models to identify more genes related to specific cancer types.

More Related Videos

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
Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.7K

Related Experiment Videos

Last Updated: Mar 31, 2026

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

11.0K
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
Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.7K

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Knowledge extraction from Next Generation Sequencing (NGS) data is crucial for RNA-seq gene expression analysis.
  • Current methods often yield a single classification model with limited features, hindering comprehensive knowledge discovery.

Purpose of the Study:

  • To develop a novel method, CAMUR, for extracting multiple, equivalent classification models from RNA-seq data.
  • To identify a broader set of genes associated with specific classes in case-control studies.

Main Methods:

  • CAMUR iteratively computes rule-based classification models.
  • It generates the power set of genes, eliminates combinations, and re-classifies until a stopping criterion is met.
  • Includes a dedicated knowledge repository and querying tool.

Main Results:

  • CAMUR successfully generates multiple reliable, equivalent classification models from RNA-seq data.
  • Analysis of Breast, Head and Neck, and Stomach Cancer datasets (TCGA and non-TCGA) demonstrates CAMUR's efficacy.
  • Identified frequent genes, their relationships, and associations with specific cancers.

Conclusions:

  • CAMUR enhances knowledge extraction from RNA-seq data by providing multiple models.
  • The method facilitates a more comprehensive understanding of gene expression patterns in cancer.
  • CAMUR offers a valuable tool for identifying key genes in disease classification.