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

Bar Graph01:07

Bar Graph

23.6K
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...
23.6K
Multiple Bar Graph01:07

Multiple Bar Graph

10.4K
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...
10.4K
Ogive Graph01:07

Ogive Graph

7.1K
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...
7.1K
Time-Series Graph00:54

Time-Series Graph

5.5K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
5.5K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

21.3K
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.
21.3K
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

16.8K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
16.8K

You might also read

Related Articles

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

Sort by
Same author

Comparative assessment of total WBC and C-reactive protein counts to procalcitonin levels in subjects having maxillofacial space infection.

Bioinformation·2026
Same author

Leptospirosis presenting with fever, jaundice, and generalized lymphadenopathy: a case report with diagnostic challenges.

Annals of medicine and surgery (2012)·2026
Same author

Prognostic significance of IDH1 promoter methylation and associated genome-wide alterations in breast cancer.

Scientific reports·2026
Same author

Design guidelines for animated data visualization based on perceptual capacity limits.

Cognitive research: principles and implications·2026
Same author

Environmental remediation of dual-model-pollutants in multi-water sources via controlled pyrolysis of ZIF-67-derived Co<sub>3</sub>O<sub>4</sub>/g-CN heterojunction: Real-world photocatalytic application.

Environmental research·2025
Same author

Habitat suitability and connectivity for clouded leopard Neofelis nebulosa in Northeast India.

Scientific reports·2025
Same journal

Blue Noise Dithering for Reservoir-based Spatio-temporal Importance Resampling.

IEEE transactions on visualization and computer graphics·2026
Same journal

ROS-GS: Relightable Outdoor Scenes With Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: Mar 11, 2026

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:50

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

1.1K

Annotation Graphs: A Graph-Based Visualization for Meta-Analysis of Data Based on User-Authored Annotations.

Jian Zhao, Michael Glueck, Simon Breslav

    IEEE Transactions on Visualization and Computer Graphics
    |November 23, 2016
    PubMed
    Summary
    This summary is machine-generated.

    Annotation graphs visually enhance data analysis by enabling meta-analysis of user-authored annotations. This dynamic visualization aids hypothesis generation and insight communication among analysts.

    More Related Videos

    A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
    07:35

    A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

    Published on: October 13, 2023

    2.3K
    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

    2.0K

    Related Experiment Videos

    Last Updated: Mar 11, 2026

    Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
    07:50

    Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

    Published on: April 18, 2025

    1.1K
    A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
    07:35

    A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

    Published on: October 13, 2023

    2.3K
    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

    2.0K

    Area of Science:

    • Data Visualization
    • Human-Computer Interaction
    • Information Visualization

    Background:

    • User-authored annotations are crucial for hypothesis generation and sensemaking in data analysis.
    • Effective communication of insights between analysts is essential for collaborative data exploration.

    Purpose of the Study:

    • To introduce annotation graphs, a dynamic visualization for meta-analysis of user-authored data annotations.
    • To enable visual exploration of annotation semantics and relationships within datasets.

    Main Methods:

    • Developed annotation graphs, encoding semantics of data selections, comments, and tags.
    • Implemented a mixed-initiative approach for graph layout, combining manual and automatic methods.
    • Integrated annotation graphs into C8, a system for exploratory data analysis, applying Exploratory Sequential Data Analysis (ESDA) principles.

    Main Results:

    • Annotation graphs reveal different perspectives on annotation semantics through various visual styles.
    • The system was iteratively designed and evaluated with HCI experiment data analysis experts.
    • Results indicate effectiveness in visually extending annotations for data meta-analysis, aiding idea discovery and organization.

    Conclusions:

    • Annotation graphs offer a novel method for meta-analysis of user-generated data annotations.
    • The approach supports enhanced sensemaking and hypothesis generation by visualizing annotation relationships.
    • The C8 system and annotation graphs facilitate discovery and organization of insights during exploratory analysis.