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

36.2K
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...
36.2K

You might also read

Related Articles

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

Sort by
Same author

The EcoCyc database (2025).

EcoSal Plus·2025
Same author

Revisiting the y-ome of Escherichia coli.

Nucleic acids research·2024
Same author

The Comparative Genome Dashboard.

Frontiers in microbiology·2024
Same author

An evaluation of ChatGPT and Bard (Gemini) in the context of biological knowledge retrieval.

Access microbiology·2024
Same author

Improved BioCyc Operon Prediction: Revisiting the Operon Prediction Problem.

bioRxiv : the preprint server for biology·2024
Same author

The Genome Explorer genome browser.

mSystems·2024
Same journal

Hydrogen sulfide modulates gene networks in hypoxia/reoxygenation-stressed trophoblasts: insights from transcriptome profiling.

Frontiers in bioinformatics·2026
Same journal

Molecular Dynamics-Based validation of a quinazoline-based KRAS inhibitor (C9) identified through QSAR-guided discovery.

Frontiers in bioinformatics·2026
Same journal

Real-world chronic recordings from implantable adaptive deep brain stimulation systems for Parkinson's disease motor state classification.

Frontiers in bioinformatics·2026
Same journal

A foundational quantum framework for multi-pattern string matching in k-mer detection.

Frontiers in bioinformatics·2026
Same journal

Explainable machine learning-based identification of transcriptomic biomarkers in CD1c+ dendritic cells for non-infectious uveitis: an integrative analysis of bulk RNA-seq data.

Frontiers in bioinformatics·2026
Same journal

Polygenic modeling of genetic effects on both phenotypic mean and variance: distributional regression for BMI, blood and urine biomarkers in the UK Biobank.

Frontiers in bioinformatics·2026
See all related articles

Related Experiment Video

Updated: Jun 12, 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

1.2K

Visual analysis of multi-omics data.

Austin Swart1, Ron Caspi1, Suzanne Paley1

  • 1Bioinformatics Research Group, SRI International, Menlo Park, CA, United States.

Frontiers in Bioinformatics
|September 25, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel tool for multi-omics data analysis, enabling simultaneous visualization of up to four omics datasets on metabolic networks. The interactive platform enhances biological insights through integrated data representation and semantic zooming.

Keywords:
metabolic networksmulti-omicsmulti-omics analysisomicsomics analysis

More Related Videos

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

981
A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii
07:51

A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii

Published on: August 8, 2019

7.6K

Related Experiment Videos

Last Updated: Jun 12, 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

1.2K
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

981
A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii
07:51

A Multi-Omics Extraction Method for the In-Depth Analysis of Synchronized Cultures of the Green Alga Chlamydomonas reinhardtii

Published on: August 8, 2019

7.6K

Area of Science:

  • Systems Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Multi-omics data integration is crucial for understanding complex biological systems.
  • Visualizing multiple omics datasets simultaneously on biological networks remains a challenge.

Purpose of the Study:

  • To develop an interactive tool for the simultaneous visualization of multiple omics datasets on organism-scale metabolic networks.
  • To facilitate the exploration and interpretation of integrated multi-omics data.

Main Methods:

  • Developed an interactive web-based tool for metabolic network visualization.
  • Implemented automated graphical layout algorithms for chart construction.
  • Utilized distinct visual channels (color, thickness, etc.) to represent different omics datasets.
  • Incorporated semantic zooming and animation for enhanced data exploration.

Main Results:

  • The tool enables simultaneous visualization of up to four omics datasets on metabolic network diagrams.
  • Different omics data types (e.g., transcriptomics, proteomics, metabolomics) are mapped to visual channels like reaction arrow color and thickness.
  • Interactive features like semantic zooming, animation, and adjustable data-to-visual mappings enhance usability.

Conclusions:

  • The developed tool provides an effective platform for integrated multi-omics data analysis and visualization.
  • This approach can significantly aid researchers in uncovering complex biological relationships and mechanisms.
  • The tool's interactive nature promotes deeper exploration of organism-scale metabolic networks.