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Related Concept Videos

Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
Bar Graph01:07

Bar Graph

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...
pV-Diagrams01:18

pV-Diagrams

The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
Energy Diagrams - II01:10

Energy Diagrams - II

Energy diagrams are important to understand the dynamics of a system. The topology of an energy diagram helps illustrate the equilibrium points of the system.
The point in the energy diagram at which the system’s potential energy is the lowest is known as the local minima. The system tends to stay in this position indefinitely unless acted upon by a net force. The slope of the potential energy diagram at the local minima is zero, indicating that zero net force is acting on the system. The slope...
Energy Diagrams - I01:14

Energy Diagrams - I

The dynamics of a mechanical system can be easily understood by interpreting a potential energy diagram. Since energy is a scalar quantity, the interpretation of the dynamics of the system becomes even simpler.
Take the example of a skater on a parabolic ramp. The potential energy at different points along the ramp will be proportional to the height of the ramp, which varies quadratically with the horizontal position on the ramp. As the skater moves down the ramp from the highest position,...
The Scientific Method01:32

The Scientific Method

The scientific method is a detailed, empirical problem-solving process used by biologists and other scientists. This iterative approach involves formulating a question based on observation, developing a testable potential explanation for the observation (called a hypothesis), making and testing predictions based on the hypothesis, and using the findings to create new hypotheses and predictions.Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...

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Related Experiment Video

Updated: Jun 4, 2026

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

Visual representation of scientific information.

Bang Wong1

  • 1Broad Institute, Cambridge, MA 02142, USA. bang@broadinstitute.org

Science Signaling
|February 18, 2011
PubMed
Summary

Scientific data analysis is challenging due to massive datasets. Visual representation, using art and design, can help researchers understand complex molecular data and accelerate disease discovery.

Area of Science:

  • Bioinformatics and Computational Biology
  • Scientific Data Visualization
  • Medical Research

Background:

  • Technological advancements have led to an exponential increase in scientific data generation.
  • Data analysis is becoming the bottleneck in scientific research, hindering progress.
  • Understanding the molecular basis of human diseases requires effective analysis of large datasets.

Purpose of the Study:

  • To explore how visual representation can aid scientific discovery and communication.
  • To address the analytical challenges posed by the scale, resolution, and variety of modern scientific data.
  • To showcase the application of art, design, and illustration in scientific research.

Main Methods:

  • Leveraging principles from art and design to create visual representations of complex data.

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Visualizing Visual Adaptation
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  • Developing informative visualization models for scientific data analysis.
  • Drawing examples from the Broad Institute's Data Visualization Initiative.

    • Main Results:

    • Visual representation offers unique insights for data analysis and communication.
    • Art and design principles can enhance the understanding of molecular data.
    • Established processes for creating effective scientific visualization models.

    Conclusions:

    • Visual representation is a powerful tool for scientific discovery, particularly in analyzing large-scale biological data.
    • Integrating art and design into scientific workflows can overcome data analysis challenges.
    • The Data Visualization Initiative provides a framework for advancing data interpretation in biomedical research.