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

35.7K
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...
35.7K
Proteomics01:33

Proteomics

7.2K
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...
7.2K
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

You might also read

Related Articles

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

Sort by
Same author

Tracking Dynamic Variations of Reactive Oxygen Species and Temperature during Ferroptosis-Induced Hepatic Stellate Cell Activation.

ACS nano·2026
Same author

A telomere-to-telomere genome assembly of <i>Nymphaea minuta</i> provides details into the developmental transcriptome atlas and adaptive regulatory mechanisms.

Horticulture research·2026
Same author

Water lily complete genomes illuminate the innovations of water lilies and early angiosperms.

Nature plants·2026
Same author

Engineering Bifunctional Carbon Hosts with Rich ─OH and ─C═O for Synergistic Confinement and Redox Kinetics in Zn-I<sub>2</sub> Batteries.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Identification of prognostic genes associated with mitochondria and macrophage polarization in prostate adenocarcinoma based on transcriptome and Mendelian randomization analysis.

Discover oncology·2025
Same author

TropiCODB: A multi-omics resource for supporting biodesign in tropical crops.

Biodesign research·2025

Related Experiment Video

Updated: May 26, 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

1.1K

Multiomics Research: Principles and Challenges in Integrated Analysis.

Yunqing Luo1,2, Chengjun Zhao1,2, Fei Chen1,2

  • 1National Key Laboratory for Tropical Crop Breeding, College of Breeding and Multiplication, Sanya Institute of Breeding and Multiplication, Hainan University, Sanya 572025, China.

Biodesign Research
|February 24, 2025
PubMed
Summary
This summary is machine-generated.

Multiomics research integrates diverse biological data for a holistic system view. Advanced computational methods and large language models are key to overcoming challenges in this transformative field.

More Related Videos

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

7.5K
Author Spotlight: Advancing Alzheimer's Research &#8211; 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

940

Related Experiment Videos

Last Updated: May 26, 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

1.1K
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

7.5K
Author Spotlight: Advancing Alzheimer's Research &#8211; 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

940

Area of Science:

  • Integrative biology
  • Computational biology
  • Bioinformatics

Background:

  • Multiomics research combines genomics, transcriptomics, proteomics, and metabolomics for comprehensive biological system understanding.
  • Understanding complex biological processes requires integrating data from various omics technologies.

Purpose of the Study:

  • To elucidate fundamental principles of multiomics research.
  • To review advances in computational methodologies for multiomics data integration and interpretation.
  • To address challenges and highlight the potential of large language models in multiomics.

Main Methods:

  • Review of multiomics principles and data integration strategies.
  • Exploration of computational methods including deep learning, graph neural networks (GNNs), and generative adversarial networks (GANs).
  • Discussion on the application of large language models for enhanced multiomics analysis.

Main Results:

  • Data integration is crucial for uncovering complex interactions and regulatory mechanisms.
  • Advanced computational tools like deep learning and GNNs facilitate multiomics data synthesis.
  • Large language models show potential for automated feature extraction and knowledge integration.

Conclusions:

  • Multiomics research offers a transformative approach to biological analysis.
  • Addressing data heterogeneity, scalability, and model interpretability are critical challenges.
  • Ongoing innovation and collaboration are essential for advancing multiomics research and its applications.