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

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

16.6K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
16.6K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

7.2K
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...
7.2K
Genetic Screens02:46

Genetic Screens

5.9K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.9K
Genomics02:02

Genomics

41.7K
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...
41.7K
Biostatistics: Overview01:20

Biostatistics: Overview

1.1K
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
1.1K
Bar Graph01:07

Bar Graph

23.7K
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...
23.7K

You might also read

Related Articles

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

Sort by
Same author

Antimicrobial assessment and scanning electron microscopy analysis of sesquiterpene lactones isolated from the leaves of Inula racemosa Hook. f.

Archives of microbiology·2026
Same author

Unleashing the immune arsenal: development of broad spectrum multiepitope bluetongue vaccine targeting conserved T cell epitopes of structural proteins.

BMC genomics·2026
Same author

Evolving Treatments and Resistance Mechanisms in Prostate Cancer Therapeutics.

ACS pharmacology & translational science·2026
Same author

Deciphering Seedling-Stage Salinity Stress Tolerance in Maize Genotypes Through Morpho-Physiological and Ionic Traits.

International journal of molecular sciences·2026
Same author

Prostate cancer: metabolic remodelling in expressed prostatic secretions reveals cellular structural changes measured by mpMRI.

Molecular omics·2026
Same author

Spin polarized first principles study of electro-magnetic and optical properties of K<sub>2</sub>NaXI<sub>6</sub> (X :Cr Fe) double halide perovskites.

Scientific reports·2026

Related Experiment Video

Updated: Mar 25, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.7K

Using Interactive Data Visualizations for Exploratory Analysis in Undergraduate Genomics Coursework: Field Study

Barbara Mirel1, Anuj Kumar2, Paige Nong3

  • 1School of Education, University of Michigan, Ann Arbor, Michigan.

Journal of Science Education and Technology
|February 16, 2016
PubMed
Summary

Undergraduate biology students can feasibly use visual analytics tools for data exploration. Enhancing tool usability and instructional methods can further support their learning of these essential scientific skills.

Keywords:
Case-based instructionCollege biologyCritical thinkingData visualizationTechnologyVisual analytics

More Related Videos

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.9K
Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.6K

Related Experiment Videos

Last Updated: Mar 25, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.7K
Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.9K
Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.6K

Area of Science:

  • Genomics Education
  • Visual Analytics in Biology
  • Undergraduate Science Pedagogy

Background:

  • Life scientists widely use visual analytics for large dataset exploration and hypothesis generation.
  • Visual analytics is an underdeveloped area in undergraduate biology curricula.
  • There is a need to integrate modern data analysis methods into biology education.

Purpose of the Study:

  • To assess the feasibility of undergraduate biology majors using interactive data visualizations for exploratory analysis.
  • To compare undergraduate student use of visual analytics tools with practicing scientists' methods.
  • To identify student performance patterns, efficiencies, and challenges in visual analytics tasks.

Main Methods:

  • Qualitative and quantitative analysis of 22 upper-level undergraduates in a genomics course.
  • Students engaged in case-based inquiry using an interactive heat map visualization.
  • Analysis focused on visual analytic behaviors, reasoning, outcomes, and tool-related difficulties.

Main Results:

  • Undergraduate engagement with visual analytics tools is feasible.
  • Students demonstrated patterns in performance, efficiencies, and task completion.
  • Difficulties were identified in applying knowledge and skills, linked to tool design.

Conclusions:

  • Undergraduate visual analytics engagement is feasible and can be improved through better tool usability.
  • Specific tool usability improvements are identified to enhance student learning.
  • Instructional considerations are suggested to further support visual analytics in case-based learning modules.