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

Epistasis Analysis01:09

Epistasis Analysis

4.9K
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
4.9K
Protein Networks02:26

Protein Networks

3.7K
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,...
3.7K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

12.3K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
12.3K
Protein-protein Interfaces02:04

Protein-protein Interfaces

12.5K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
12.5K

You might also read

Related Articles

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

Sort by
Same author

Cyclophilin-a as a key paracrine factor replicating hPVSC therapeutic effects in a chemotherapy-induced ovarian damage model.

Scientific reports·2026
Same author

Evaluation of the Preclinical and Clinical Obesity Framework for Risk Stratification of Major Adverse Liver Outcomes.

Mayo Clinic proceedings·2026
Same author

Enhancing polygenic risk prediction by modeling quantile-specific genetic effects.

Scientific reports·2026
Same author

Polyvinylpyrrolidone-Polycarbosilane Core-Shell Fibrous Membrane as an Advanced Material for Triboelectric Nanogenerators.

ACS applied materials & interfaces·2026
Same author

Extracellular vesicles conjugated with c(RGDyk) peptide targeting integrin αVβ3 repair optic nerve injury through YAP/TAZ and Smad2/3 signaling.

Stem cells translational medicine·2026
Same author

<i>Paeonia lactiflora</i> Callus-Derived Polynucleotides Enhance Collagen Accumulation in Human Dermal Fibroblasts.

Journal of functional biomaterials·2026
Same journal

Construction and validation of a lncRNA/circRNA-miRNA-mRNA ceRNA network in allergic rhinitis pathogenesis.

BMC medical genomics·2026
Same journal

Genetic architecture of patients with autism spectrum disorder - data analysis based on the literature review.

BMC medical genomics·2026
Same journal

Elective genomic sequencing for adults in research, clinical and commercial contexts.

BMC medical genomics·2026
Same journal

Targeting acetylcholine: a novel strategy for treating lung adenocarcinoma.

BMC medical genomics·2026
Same journal

Role of the PTPN22 C1858T (R263Q) variant in tuberculosis susceptibility: genetic and functional evidence from a South Asian cohort.

BMC medical genomics·2026
Same journal

Improved prognostic survival models for pediatric medulloblastoma using high dimensional gene expression data.

BMC medical genomics·2026
See all related articles

Related Experiment Video

Updated: Apr 26, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

46.1K

IGENT: efficient entropy based algorithm for genome-wide gene-gene interaction analysis.

Min-Seok Kwon, Mira Park, Taesung Park

    BMC Medical Genomics
    |August 1, 2014
    PubMed
    Summary
    This summary is machine-generated.

    IENT, an Information theory-based Genome-wide gene-gene iNTeraction method, efficiently identifies gene-gene interactions (GGI) and gene-environment interactions (GEI). It successfully detected GGIs for bipolar disorder and age-related macular degeneration, offering a powerful tool for complex trait research.

    More Related Videos

    A Web-Based Workflow for Selecting Gene- and Tissue-Specific Enhancers
    08:12

    A Web-Based Workflow for Selecting Gene- and Tissue-Specific Enhancers

    Published on: July 18, 2025

    803
    Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
    09:14

    Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

    Published on: June 28, 2018

    6.7K

    Related Experiment Videos

    Last Updated: Apr 26, 2026

    Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
    14:06

    Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

    Published on: November 12, 2012

    46.1K
    A Web-Based Workflow for Selecting Gene- and Tissue-Specific Enhancers
    08:12

    A Web-Based Workflow for Selecting Gene- and Tissue-Specific Enhancers

    Published on: July 18, 2025

    803
    Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
    09:14

    Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

    Published on: June 28, 2018

    6.7K

    Area of Science:

    • Genetics
    • Bioinformatics
    • Computational Biology

    Background:

    • High-throughput genotyping and sequencing reveal genetic variants associated with complex traits.
    • Identified genetic markers explain a small fraction of complex trait heritability.
    • Gene-gene interaction (GGI) analysis is crucial for understanding unexplained heritability.

    Purpose of the Study:

    • To introduce IGENT, an efficient algorithm for genome-wide gene-gene interaction (GGI) and gene-environment interaction (GEI) detection.
    • To reduce the computational burden of identifying significant GGIs on a genome-wide scale.

    Main Methods:

    • IENT utilizes information gain (IG) for GGI and GEI detection.
    • Significance is evaluated without resampling, enhancing computational efficiency.
    • The method employs an information theory-based approach for genome-wide analysis.

    Main Results:

    • Simulation studies demonstrate IGENT's superior or equivalent power compared to BOOST.
    • IENT successfully identified GGI for bipolar disorder using WTCCC data.
    • The method also detected GGI for age-related macular degeneration (AMD).

    Conclusions:

    • IENT is an efficient and powerful tool for detecting GGIs and GEIs.
    • The method has been successfully applied to real-world genetic datasets.
    • IENT is implemented in C++ and available for major operating systems (Windows, Linux, MacOSX).