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

Genomics02:02

Genomics

39.5K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
39.5K
Protein Networks02:26

Protein Networks

4.4K
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,...
4.4K
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

513
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
513
Proteomics01:33

Proteomics

9.2K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
9.2K

You might also read

Related Articles

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

Sort by
Same author

Acute myocardial infarction induces sex-specific, time-dependent remodeling of the gut microbiome and intestinal immune compartment in retired breeder C57BL/6N mice.

Frontiers in microbiomes·2026
Same author

Assessing the metabolomics "dark matter" by a detectable khipu model.

Metabolomics : Official journal of the Metabolomic Society·2026
Same author

Species and strain diversity in Staphylococcus drive divergent host responses in human skin.

bioRxiv : the preprint server for biology·2026
Same author

From pancreas and islet resources to diabetes insights.

Diabetologia·2026
Same author

Exposed phosphatidylserine is an inhibitory molecule in T cell exhaustion.

Nature·2026
Same author

Short-term sleep restriction in humans alters diurnal circulating metabolite profiles, including those of microbial origin.

The Journal of clinical investigation·2026
Same journal

Mapping the 3D Chromosome Organization of a Biosynthetic Gene Cluster by Capture Hi-C (CHi-C).

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Mapping the 3D Chromosome Organization of Streptomyces by Hi-C.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

CUT&Tag Epigenomic Profiling of Biosynthetic Gene Clusters in Arabidopsis thaliana.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Rhizobium rhizogenes-Mediated Hairy Root Transformation Protocol for Lotus japonicus and Other Legumes.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Characterization of Bioactive Saponins from Sea Cucumbers.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Methods for Functional Validation of Terpenoid Metabolic Clusters in Nicotiana benthamiana and Aspergillus oryzae.

Methods in molecular biology (Clifton, N.J.)·2026
See all related articles

Related Experiment Video

Updated: Dec 30, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.9K

Network-Based Approaches for Multi-omics Integration.

Guangyan Zhou1, Shuzhao Li2, Jianguo Xia3,4,5,6

  • 1Institute of Parasitology, McGill University, Montreal, QC, Canada.

Methods in Molecular Biology (Clifton, N.J.)
|January 19, 2020
PubMed
Summary
This summary is machine-generated.

This chapter explores network-based multi-omics integration, detailing methods, resources, and applications like systems metabolomics for biological data interpretation.

Keywords:
Data integrationHierarchical community networksMulti-omics integrationNetwork enrichment analysisNetwork visualizationSystems biology

More Related Videos

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

3.6K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.6K

Related Experiment Videos

Last Updated: Dec 30, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.9K
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

3.6K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.6K

Area of Science:

  • Bioinformatics
  • Systems Biology
  • Computational Biology

Background:

  • Multi-omics data integration is crucial for understanding complex biological systems.
  • Network-based approaches offer a powerful framework for analyzing diverse -omics datasets.
  • Metabolomics data, in particular, benefits from integration with other molecular data types.

Purpose of the Study:

  • To provide a comprehensive overview of network-based multi-omics integration strategies.
  • To introduce key concepts, resources, and application scenarios in the field.
  • To discuss future perspectives in multi-omics data analysis.

Main Methods:

  • Review of current progresses and concepts in multi-omics integration.
  • Overview of public resources for biological network construction.
  • Description of application scenarios: subnetwork identification, network-based enrichment analysis, and systems metabolomics.
  • Introduction to hierarchical community network analysis.
  • Discussion of network visualization tools.

Main Results:

  • The chapter outlines a structured approach to multi-omics integration using network analysis.
  • It highlights available resources and practical application examples.
  • It introduces advanced concepts like hierarchical community analysis and visualization techniques.

Conclusions:

  • Network-based approaches are essential for advancing multi-omics data interpretation.
  • The chapter provides a valuable resource for researchers entering the field of systems biology and metabolomics.
  • Future directions emphasize continued development in integration methodologies and tools.