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

Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Seedless Vascular Plants03:24

Seedless Vascular Plants

67.0K
Seedless Vascular Plants Were the First Tall Plants on Earth
67.0K
Ogive Graph01:07

Ogive Graph

6.8K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
6.8K
Graphing Antiderivatives01:30

Graphing Antiderivatives

72
The concept of an antiderivative is fundamental in calculus, describing how a function's values accumulate over time. This process is closely related to physical motion, such as the movement of a rolling ball. As the ball progresses, its position changes in response to variations in velocity, just as an antiderivative graph reflects the cumulative effect of the original function's values.Graphing an antiderivative requires interpreting how a function's values influence the shape of its...
72
Bar Graph01:07

Bar Graph

22.8K
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...
22.8K
Graphs of Functions01:30

Graphs of Functions

347
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...
347

You might also read

Related Articles

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

Sort by
Same author

A multi-ethnic proteomic profiling analysis in Alzheimer's disease identifies the disparities in dysregulation of proteins and pathogenesis.

PeerJ·2024
Same author

Functional data geometric morphometrics with machine learning for craniodental shape classification in shrews.

Scientific reports·2024
Same author

A biomarker discovery of acute myocardial infarction using feature selection and machine learning.

Medical & biological engineering & computing·2023
Same author

Classification and Morphology of <i>Rhinocypha</i> spp. (Odonata): A Comprehensive Taxonomic Study Within the Females.

Zoological studies·2022
Same author

Integrated analysis of machine learning and deep learning in chili pest and disease identification.

Journal of the science of food and agriculture·2020
Same author

Automated craniofacial landmarks detection on 3D image using geometry characteristics information.

BMC bioinformatics·2019

Related Experiment Video

Updated: Feb 5, 2026

Investigation of Plant Interactions Across Common Mycorrhizal Networks Using Rotated Cores
09:17

Investigation of Plant Interactions Across Common Mycorrhizal Networks Using Rotated Cores

Published on: March 26, 2019

13.3K

Plant data visualisation using network graphs.

Afrina Adlyna Mohamad-Matrol1, Siow-Wee Chang1, Arpah Abu1,2

  • 1Institute of Biological Sciences, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia.

Peerj
|September 7, 2018
PubMed
Summary
This summary is machine-generated.

This study developed a plant visualization system to help users understand complex plant data. The system translates data into network graphs, making relationships clear for both experts and the public.

Keywords:
Data visualisationNetwork graphOntologyPlant knowledgePlantViz

More Related Videos

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.3K
Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

494

Related Experiment Videos

Last Updated: Feb 5, 2026

Investigation of Plant Interactions Across Common Mycorrhizal Networks Using Rotated Cores
09:17

Investigation of Plant Interactions Across Common Mycorrhizal Networks Using Rotated Cores

Published on: March 26, 2019

13.3K
Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.3K
Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

494

Area of Science:

  • Botany and Data Science
  • Information Visualization
  • Bioinformatics

Background:

  • Rapid increase in plant data (taxonomic, morphological, ecological, distribution) from research and technology.
  • Challenges in extracting insights from lengthy textual and tabular plant data formats.
  • Need for effective methods to discern relationships within vast plant datasets for experts and the public.

Purpose of the Study:

  • To propose and develop a visual-based representation for displaying plant data.
  • To emphasize the relationships between different plant data sets.
  • To create a user-friendly system for exploring plant information.

Main Methods:

  • Conversion of ontological plant datasets into a graph model.
  • Querying data from the graph model.
  • Transformation of Extensible Markup Language (XML) data into graphical representations.
  • Development of a graphical user interface (GUI) for data visualization.

Main Results:

  • A "plant visualization system" with a GUI and network graph viewer was developed.
  • The system effectively displays queried data as network graphs.
  • User evaluations (usability heuristics, query/visualization) assessed system efficiency.

Conclusions:

  • Visualized data relationships facilitate knowledge and correlation inference.
  • The system is suitable for users of all skill levels, including experts and novices.
  • The tool provides cognitive analysis for understanding data relationships, benefiting botanists and the general public.