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

Operon Model01:23

Operon Model

2.2K
The operon model represents a fundamental mechanism of gene regulation in prokaryotes, enabling coordinated expression of genes involved in related metabolic or functional pathways. Operons consist of structural genes, a promoter, and an operator, with transcription regulated by repressors, activators, and small effector molecules.Structure and Function of OperonsAn operon is a cluster of structural genes transcribed together under the control of a single promoter. The promoter region...
2.2K
Operons02:09

Operons

19.5K
19.5K
Operons02:09

Operons

57.0K
Prokaryotes can control gene expression through operons—DNA sequences consisting of regulatory elements and clustered, functionally related protein-coding genes. Operons use a single promoter sequence to initiate transcription of a gene cluster (i.e., a group of structural genes) into a single mRNA molecule. The terminator sequence ends transcription. An operator sequence, located between the promoter and structural genes, prohibits the operon’s transcriptional activity if bound by...
57.0K
RNA-seq03:21

RNA-seq

12.7K
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...
12.7K
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

5.0K
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
5.0K
Protein Networks02:26

Protein Networks

4.7K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.7K

You might also read

Related Articles

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

Sort by
Same author

Cadmium induced oxalic acid secretion and its role in metal uptake and detoxification mechanisms in Phanerochaete chrysosporium.

Applied microbiology and biotechnology·2014
Same author

[AS-PCR assay for 20 mtDNA SNP typing and haplotype frequency].

Fa yi xue za zhi·2014
Same author

Identification of ANKK1 rs1800497 variant in schizophrenia: new data and meta-analysis.

American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics·2014
Same author

Predictors of consistent condom use among Chinese female sex workers: an application of the protection motivation theory.

Health care for women international·2014
Same author

Overexpression of PEP-19 suppresses angiotensin II-induced cardiomyocyte hypertrophy.

Journal of pharmacological sciences·2014
Same author

Altered brain network modules induce helplessness in major depressive disorder.

Journal of affective disorders·2014
Same journal

DiffGRN: differential gene regulatory network analysis.

International journal of data mining and bioinformatics·2019
Same journal

Integration of multi-omics data for integrative gene regulatory network inference.

International journal of data mining and bioinformatics·2018
Same journal

The development of non-coding RNA ontology.

International journal of data mining and bioinformatics·2016
Same journal

Learning multiple distributed prototypes of semantic categories for named entity recognition.

International journal of data mining and bioinformatics·2015
Same journal

Weighted fusion regularisation and predicting microbial interactions with vector autoregressive model.

International journal of data mining and bioinformatics·2015
Same journal

Application of consensus string matching in the diagnosis of allelic heterogeneity involving transposition mutation.

International journal of data mining and bioinformatics·2015
See all related articles

Related Experiment Video

Updated: Apr 16, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.7K

Operon prediction by Markov clustering.

Wei Du, Zhongbo Cao, Yan Wang

    International Journal of Data Mining and Bioinformatics
    |March 12, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new operon prediction model using Markov Clustering (MCL). The method accurately identifies operons across different species, aiding in reconstructing genome-wide biological networks.

    More Related Videos

    A Protocol for Computer-Based Protein Structure and Function Prediction
    16:41

    A Protocol for Computer-Based Protein Structure and Function Prediction

    Published on: November 3, 2011

    70.2K
    Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
    10:41

    Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers

    Published on: June 24, 2019

    8.9K

    Related Experiment Videos

    Last Updated: Apr 16, 2026

    JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
    07:28

    JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

    Published on: October 19, 2021

    3.7K
    A Protocol for Computer-Based Protein Structure and Function Prediction
    16:41

    A Protocol for Computer-Based Protein Structure and Function Prediction

    Published on: November 3, 2011

    70.2K
    Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
    10:41

    Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers

    Published on: June 24, 2019

    8.9K

    Area of Science:

    • Genomics
    • Bioinformatics
    • Systems Biology

    Background:

    • Operon prediction is essential for understanding gene organization and function.
    • Reconstructing biochemical and regulatory networks requires accurate operon identification.

    Purpose of the Study:

    • To propose a novel operon prediction model.
    • To utilize Markov Clustering (MCL) for operon prediction without a classifier.

    Main Methods:

    • The study employs Markov Clustering (MCL), a graph-clustering algorithm.
    • The model treats operon prediction as a clustering problem.

    Main Results:

    • Cross-species validation achieved high accuracies: 92.1% for E. coli K12, 86.9% for Bacillus subtilis, and 87.3% for P. furiosus.
    • The proposed MCL-based method demonstrates powerful operon prediction capabilities.

    Conclusions:

    • The novel Markov Clustering-based model provides an effective approach for operon prediction.
    • This method facilitates the reconstruction of genome-scale biological networks.