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

Graphs of Functions01:30

Graphs of Functions

530
Graphs of functions provide a visual representation of how output values change in response to varying inputs. Each point on the graph corresponds to an ordered pair, where the x-coordinate (independent variable) determines the horizontal position and the y-coordinate (dependent variable) determines the vertical position. Linear functions like y = x give a straight line, indicating a constant rate of change.Nonlinear functions display more complex behaviors. Even power functions generate...
530
Graphs of Equations in Two Variables01:30

Graphs of Equations in Two Variables

400
An equation with two variables, typically written in the form y = f(x) or Ax + By = C, describes a relationship between quantities represented by x and y. Each solution to such an equation is an ordered pair (x, y) that satisfies the equation when substituted. These pairs can be represented graphically to understand the variables' relationship visually.A common technique for constructing the graph of a two-variable equation is to create a value table. Begin by choosing several values for the...
400
Pedigree Analysis01:35

Pedigree Analysis

91.6K
Overview
91.6K
Pedigree Analysis01:35

Pedigree Analysis

19.7K
19.7K
Multiple Bar Graph01:07

Multiple Bar Graph

10.6K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
10.6K
Bar Graph01:07

Bar Graph

23.9K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
23.9K

You might also read

Related Articles

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

Sort by
Same author

MGA: a tool for haplotype-mixed assembly of long and accurate reads.

Genome biology·2026
Same author

Telomere-to-telomere assembly using HERRO-corrected Nanopore Simplex reads.

Nature·2026
Same author

Verkko2 integrates proximity-ligation data with long-read De Bruijn graphs for efficient telomere-to-telomere genome assembly, phasing, and scaffolding.

Genome research·2025
Same author

Complete sequencing of ape genomes.

Nature·2025
Same author

GenomeDecoder: inferring segmental duplications in highly repetitive genomic regions.

Bioinformatics (Oxford, England)·2025
Same author

Gapless assembly of complete human and plant chromosomes using only nanopore sequencing.

Genome research·2024

Related Experiment Video

Updated: Apr 18, 2026

Chromosome Replicating Timing Combined with Fluorescent In situ Hybridization
17:14

Chromosome Replicating Timing Combined with Fluorescent In situ Hybridization

Published on: December 10, 2012

14.7K

What is the difference between the breakpoint graph and the de Bruijn graph?

Yu Lin, Sergey Nurk, Pavel A Pevzner

    BMC Genomics
    |January 10, 2015
    PubMed
    Summary

    This study reveals the mathematical equivalence between breakpoint graphs and de Bruijn graphs, unifying genome rearrangement and assembly research. These findings bridge separate bioinformatics communities by clarifying the connection between these key data structures.

    More Related Videos

    Design and Synthesis of a Reconfigurable DNA Accordion Rack
    07:44

    Design and Synthesis of a Reconfigurable DNA Accordion Rack

    Published on: August 15, 2018

    7.6K
    An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci
    11:09

    An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci

    Published on: January 25, 2011

    18.3K

    Related Experiment Videos

    Last Updated: Apr 18, 2026

    Chromosome Replicating Timing Combined with Fluorescent In situ Hybridization
    17:14

    Chromosome Replicating Timing Combined with Fluorescent In situ Hybridization

    Published on: December 10, 2012

    14.7K
    Design and Synthesis of a Reconfigurable DNA Accordion Rack
    07:44

    Design and Synthesis of a Reconfigurable DNA Accordion Rack

    Published on: August 15, 2018

    7.6K
    An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci
    11:09

    An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci

    Published on: January 25, 2011

    18.3K

    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Genomics

    Background:

    • Breakpoint graphs model genome rearrangements using synteny blocks.
    • De Bruijn graphs are fundamental for genome assembly from DNA strings.
    • The relationship between these graph structures has been unclear.

    Purpose of the Study:

    • To generalize breakpoint and de Bruijn graphs.
    • To demonstrate the mathematical equivalence of these two graph structures.
    • To connect the fields of genome rearrangement and genome assembly.

    Main Methods:

    • Generalization of breakpoint graph definitions.
    • Generalization of de Bruijn graph definitions.
    • Mathematical proof of equivalence.

    Main Results:

    • A unified framework for breakpoint and de Bruijn graphs.
    • Demonstrated mathematical equivalence between the generalized structures.
    • Established a clear link between genome rearrangement and assembly graph models.

    Conclusions:

    • Breakpoint graphs and de Bruijn graphs are mathematically equivalent.
    • This unification provides a bridge between genome rearrangement and assembly research communities.
    • The generalized models offer new perspectives for both fields.