Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Genomics

Genomics

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...

Proteomics

Proteomics

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...

You might also read

Related Articles

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

Sort by

Same author

Ovarian cancer tumor immune profiles associated with intrauterine device and oral contraceptive use.

British journal of cancer·2026

Same author

Spatial Clustering of Recently Activated Cytotoxic Lymphocytes Improves Association with Overall Survival in Women with High-Grade Serous Ovarian Cancer.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026

Same author

Spatial Clustering of Recently Activated Cytotoxic Lymphocytes Improves Association with Overall Survival in Women with High-Grade Serous Ovarian Cancer.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026

Same author

FastPCA: An R package for fast singular value decomposition.

Journal of open source software·2026

Same author

scSpatialSIM: a simulator of spatial single-cell molecular data.

SoftwareX·2026

Same author

Longer-term aspirin use and subsequent ovarian cancer risk in the Ovarian Cancer Cohort Consortium.

International journal of epidemiology·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

Search research articles

Related Experiment Video

Updated: Aug 6, 2025

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

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

Published on: September 20, 2024

Multi-omics Data Deconvolution and Integration: New Methods, Insights, and Translational Implications.

Xuefeng Wang¹, Brooke L Fridley²

¹Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.

Methods in Molecular Biology (Clifton, N.J.)

|March 17, 2023

Summary

This summary is machine-generated.

Advances in multi-omics technologies deepen human genome understanding. Integrating diverse data types like genomics and transcriptomics presents challenges but offers mechanistic insights for population-level health applications.

Keywords:

Data integration Multi-omics study Translational biomarkers Visualization

More Related Videos

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

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

Published on: December 15, 2023

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

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

Published on: August 8, 2019

Related Experiment Videos

Last Updated: Aug 6, 2025

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

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

Published on: September 20, 2024

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

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

Published on: December 15, 2023

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

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

Published on: August 8, 2019

Area of Science:

Genomics and Bioinformatics
Molecular Biology
Systems Biology

Background:

The era of multi-omics has seen rapid advancements in sequencing and molecular profiling technologies.
These technologies aim to enhance our understanding of human genome variations and dynamic regulations.
However, analyzing and integrating diverse, large-scale, and heterogeneous data remains a significant challenge.

Purpose of the Study:

To review recent advances in analytical methods for multi-omics data.
To highlight emerging techniques for single-cell and spatial transcriptomic data.
To discuss mechanistic insights, challenges, and future outlooks for translational and reproducible adoption of these technologies at the population level.

Main Methods:

Review of recent advances in analytical methods for genome, transcriptome, proteome, metabolome, and microbiome data.
Discussion of emerging methods for single-cell sequencing and spatial transcriptomics.
Exploration of statistical methods inspired by new assays for molecular profiling.

Main Results:

Significant progress has been made in analyzing data from various omics levels.
New methods are emerging for single-cell and spatial transcriptomic analyses.
Mechanistic insights are being gained, but challenges in translational and reproducible adoption persist.

Conclusions:

Novel statistical methods and improved assays are continuously enhancing our understanding of the human genome.
These advancements facilitate the study of downstream consequences across the epigenome, transcriptome, proteome, metabolome, regulome, and microbiome.
Addressing challenges is crucial for the widespread, reproducible application of multi-omics in population health.