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...

DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

Karyotyping

Karyotyping

Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

Genome Annotation and Assembly

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.

You might also read

Related Articles

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

Sort by

Same author

UnionLoops: a workflow for calling chromatin loops across related Hi-C datasets with improved specificity, precision, and sensitivity.

Genome biology·2026

Same author

UnionLoops: a workflow for calling chromatin loops across related Hi-C datasets with improved specificity, precision, and sensitivity.

bioRxiv : the preprint server for biology·2026

Same author

esBAF and INO80C fine-tune subcompartments and differentially regulate enhancer-promoter interactions.

Genetics·2026

Same author

Interphase chromosome conformation is specified by distinct folding programmes inherited through mitotic chromosomes or the cytoplasm.

Nature cell biology·2025

Same author

An integrated view of the structure and function of the human 4D nucleome.

Nature·2025

Same author

mRNA initiation and termination are spatially coordinated.

Science (New York, N.Y.)·2025

Search research articles

Related Experiment Video

Updated: Mar 11, 2026

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Published on: November 3, 2023

Mapping the 3D genome: Aiming for consilience.

¹Howard Hughes Medical Institute, Program in Systems Biology, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, 368 Plantation Street, Worcester, Massachusetts 01605-0103, USA.

Nature Reviews. Molecular Cell Biology

|November 22, 2016

Summary

Genome spatial organization is explored using microscopy and chromosome conformation capture (3C) methods. Discordant data between these techniques offers chances to improve chromatin folding models and reconcile findings.

More Related Videos

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

3D Multicolor DNA FISH Tool to Study Nuclear Architecture in Human Primary Cells

3D Multicolor DNA FISH Tool to Study Nuclear Architecture in Human Primary Cells

Published on: January 25, 2020

Related Experiment Videos

Last Updated: Mar 11, 2026

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Published on: November 3, 2023

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

3D Multicolor DNA FISH Tool to Study Nuclear Architecture in Human Primary Cells

3D Multicolor DNA FISH Tool to Study Nuclear Architecture in Human Primary Cells

Published on: January 25, 2020

Area of Science:

Genomics
Molecular Biology
Biophysics

Background:

Understanding genome spatial organization is crucial for gene regulation and cellular function.
Microscopy and chromosome conformation capture (3C) are primary methods for studying 3D genome structure.
Discrepancies between these methods highlight limitations in current chromatin folding models.

Purpose of the Study:

To investigate the discordance between microscopy and 3C-based genome organization data.
To develop improved computational models that reconcile conflicting datasets.
To advance the understanding of chromatin folding principles.

Main Methods:

Comparative analysis of microscopy and 3C-derived genome organization data.
Development and application of computational modeling techniques.
Validation of new models against experimental observations.

Main Results:

Identified specific scenarios where microscopy and 3C data diverge.
Demonstrated that improved chromatin folding models can reconcile these discrepancies.
Provided a framework for integrating diverse genomic spatial organization data.

Conclusions:

Discordant data between genome organization techniques are valuable for refining models.
Enhanced models can bridge the gap between different experimental approaches.
This work contributes to a more accurate representation of the 3D genome.