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Related Concept Videos

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...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Streamlines, Streaklines, and Pathlines01:18

Streamlines, Streaklines, and Pathlines

A streamline represents the trajectory that is always tangent to the fluid's velocity vector at any given point. The velocity of a fluid particle is always directed along the streamline, ensuring the particle continuously follows the streamline's path. Streamlines are particularly useful for visualizing the overall direction of flow in a fluid system, and they provide an instantaneous representation of the flow's velocity field. In steady flow, where conditions do not change over time,...
Viscosity01:17

Viscosity

When water is poured into a glass, it falls freely and quickly, whereas if honey or maple syrup is poured over a pancake, it flows slowly and sticks to the surface of the container. This difference in the flow of different kinds of liquids arises due to the fluid friction between the liquid layers and the liquid and the surrounding material. This property of fluids is called fluid viscosity. In this example, water has a lower viscosity than honey and maple syrup.
The SI unit of viscosity is...
Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures enhance...

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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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VisComplete: automating suggestions for visualization pipelines.

David Koop1, Carlos E Scheidegger, Steven P Callahan

  • 1School of Computing, University of Utah, Utah, USA. dakoop@cs.utah.edu

IEEE Transactions on Visualization and Computer Graphics
|November 8, 2008
PubMed
Summary
This summary is machine-generated.

Domain scientists can build visualization and analysis pipelines faster using consensus-based techniques. Our method suggests pipeline completions based on past workflows, improving efficiency in scientific workflow systems.

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Area of Science:

  • Scientific visualization
  • Data analysis workflows
  • Computational science

Background:

  • Building complex data analysis and visualization pipelines presents a significant barrier for domain scientists.
  • Limited adoption of scientific workflow systems is often due to the difficulty in constructing these pipelines.

Purpose of the Study:

  • To develop and evaluate techniques for assisting users in constructing scientific visualization and analysis pipelines.
  • To reduce the adoption hurdle for visualization and workflow systems by domain scientists.

Main Methods:

  • Proposing techniques for constructing pipelines by consensus, automatically suggesting completions.
  • Computing correspondences between existing pipeline subgraphs from a database.
  • Predicting likely pipeline additions to a given partial pipeline using these correspondences.
  • Implementing the technique in a publicly-available, open-source scientific workflow system.

Main Results:

  • Demonstrated efficiency gains in constructing visualization and analysis pipelines in real-world situations.
  • Users can create visualizations and data products more efficiently by augmenting work patterns with suggested completions.
  • The consensus-based approach facilitates pipeline construction.

Conclusions:

  • The proposed techniques effectively assist domain scientists in building visualization and analysis pipelines.
  • Automatic suggestion of pipeline completions based on a database of previous workflows enhances user efficiency.
  • The integration into an open-source system promotes wider adoption and usability.