Difference between revisions of "Kerren, A., Ebert, A. and Meyer J. (Eds.): Human-centered Visualization Environments, volume 4417 of LNCS Tutorial, Springer, 2007"

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[[Image:LNCS4417-small.gif|thumb|left|[Springer, 2007]]]
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<b>Type:</b> Softcover<br>
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<b>Editors:</b> [[Kerren, Andreas|Andreas Kerren]], [[Ebert, Achim|Achim Ebert]], and [[Meyer, Jörg|Jörg Meyer]]<br>
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<b>Pages:</b> 403<br>
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<b>Publisher:</b> Springer<br>
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<b>Publication Date:</b> July 2007<br>
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<b>Series:</b> Volume 4417 of LNCS Tutorial<br>
 +
 
 +
 
 +
This tutorial book features an augmented selection of the material presented at the GI-Dagstuhl Research Seminar on Human-Centered Visualization Environments, HCVE 2006, held in Dagstuhl Castle, Germany in March 2006. It presents eight tutorial lectures that are the thoroughly cross-reviewed and revised versions of the summaries and findings presented and discussed at the seminar. After an introduction to human-centered visualization environments, the book shows the fundamental principles and methods in that area, such as human-centered aspects, interacting with visualizations, visual representations, as well as challenges and unsolved problems. The book also includes lectures on domain-specific visualization describing geographic visualization, algorithm animation, and biomedical information visualization. [Springer, 2007]
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{{ISBN|978-3-540-71948-9}}
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== Table of Contents ==
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 +
*Preface
 +
*List of Contributors
 +
*1 Introduction to Human-Centered Visualization Environments (A. Kerren, A. Ebert, and J. Meyer)
 +
*2 Human-Centered Aspects (O. Kulyk, R. Kosara, J. Urquiza, and I. Wassink)
 +
**2.1 Human-Centered Approach
 +
**2.2 Usability in Human-Centered Design
 +
***2.2.1 Defining Usability
 +
***2.2.2 Evaluating Usability
 +
***2.2.3 Improving Usability
 +
***2.2.4 Usability and Information Overload
 +
**2.3 User Aims and Requirements
 +
***2.3.1 Characteristics of Good Visualizations and User Interfaces
 +
***2.3.2 Essential Elements of Successful Visualization
 +
***2.3.3 Dimensions in Visualization
 +
***2.3.4 Steps in Visualization Design
 +
***2.3.5 The Design Cycle
 +
***2.3.6 User Analysis
 +
***2.3.7 User Requirements
 +
***2.3.8 Task Analysis
 +
***2.3.9 Task Modeling
 +
***2.3.10 Designing for and with Users
 +
**2.4 Evaluation of Visualization Environments
 +
***2.4.1 Human-Centered Evaluation in Visualization Practice
 +
***2.4.2 Evaluation Methods
 +
***2.4.3 Designing Experiments
 +
***2.4.4 Challenges in Evaluation of Collaborative Visualization Environments
 +
**2.5 User Studies and a Science of Visualization
 +
***2.5.1 Survey of Information Visualization Studies
 +
***2.5.2 The Future of User Studies
 +
**2.6 Chapter Notes
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*3 Interacting with Visualizations (W. Fikkert, M. D’Ambros, T. Bierz, and T.J. Jankun-Kelly)
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**3.1 Interaction
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***3.1.1 Describing Interaction
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***3.1.2 Defining Interaction
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**3.2 Influences of Display Technologies
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***3.2.1 Survey of Display Technologies
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***3.2.2 Scales of Interaction
 +
***3.2.3 Display Interaction Modalities and Media
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***3.2.4 Interfaces and Usability for Novel Displays
 +
***3.2.5 Display Device Challenges in Visualization
 +
**3.3 Multimodal Interaction
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***3.3.1 Unimodality Versus Multimodality
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***3.3.2 Issues to Deal with in Multimodal Interaction
 +
***3.3.3 Myths of Multimodality
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***3.3.4 Survey of Enabling Technologies
 +
***3.3.5 Overview of Approaches to Multimodal Interaction
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***3.3.6 Enabling Multimodal Interaction
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**3.4 Visualizations in Multi-party Environments
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***3.4.1 Collaborating with Visualizations
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***3.4.2 Models for Distributed Collaborative Visualization
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***3.4.3 Evaluation Criteria
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***3.4.4 Survey of Collaborative Visualization Systems
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***3.4.5 Challenges for Multi-party Visualizations
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**3.5 Chapter Notes
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*4 Visual Representations (C. Görg, M. Pohl, E. Qeli, and K. Xu)
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**4.1 Perceptual and Cognitive Issues
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***4.1.1 The Visualization Process
 +
***4.1.2 Types of Data
 +
***4.1.3 Preattentive Processing
 +
**4.2 Information Visualization Criteria and Metaphors
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***4.2.1 Information Visualization Criteria
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***4.2.2 Metaphors
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**4.3 Multivariate Visualization Techniques
 +
***4.3.1 Low-Dimensional Data Visualization
 +
***4.3.2 Multidimensional Data Visualization
 +
***4.3.3 Usability Issues on Multidimensional Data Visualization
 +
**4.4 Graphs and Trees
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***4.4.1 Applications
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***4.4.2 Background
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***4.4.3 Aesthetics vs. Graph Readability
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***4.4.4 Layout vs. Graph Readability
 +
***4.4.5 Large Graphs
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***4.4.6 Integrated Graph Drawing
 +
***4.4.7 Labeling of Graphs
 +
**4.5 Multiple Views
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***4.5.1 Classification
 +
***4.5.2 The Design of Multiple Views
 +
***4.5.3 Interaction
 +
***4.5.4 Comparison with Integrated Views
 +
**4.6 Chapter Notes
 +
*5 Challenges and Unsolved Problems (R.S. Laramee, R. Kosara)
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**5.1 Classification of Future Challenges and Unsolved Problems in Human-Centered Visualization
 +
***5.1.1 Human-Centered Challenges
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***5.1.2 Technical Challenges
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***5.1.3 Financial Challenges
 +
**5.2 Chapter Notes
 +
*6 Geographic Visualization (M. Nöllenburg)
 +
**6.1 Goals of Geovisualization
 +
**6.2 Driving Forces of Geovisualization
 +
**6.3 Cognitive Aspects
 +
***6.3.1 Visual Thinking
 +
***6.3.2 Graphic Variables
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**6.4 Visualization Methods and Techniques
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***6.4.1 Geospatial Data
 +
***6.4.2 2D Cartographic Visualization
 +
***6.4.3 3D Cartographic Visualization
 +
***6.4.4 Visual Data Mining Tools
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***6.4.5 Animation
 +
***6.4.6 Spatio-Temporal Visualization
 +
***6.4.7 Interactive User Interfaces
 +
***6.4.8 Combining Visual and Computational Exploration
 +
**6.5 Geovisualization Tools
 +
**6.6 Usability of Geovisualization Systems
 +
***6.6.1 Involving Users in the Design of Geovisualizations
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***6.6.2 Results from User Studies
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***6.6.3 Geovisualization to Support Group Work
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**6.7 Chapter Notes
 +
*7 Algorithm Animation (A. Moreno)
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**7.1 Overview
 +
**7.2 Users of Algorithm Animation
 +
**7.3 Taxonomies for Algorithm Animation Tools
 +
**7.4 Review of Tools and Their Evaluations
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***7.4.1 Concept Keyboards for Algorithm Visualization
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***7.4.2 Matrix and MatrixPro
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***7.4.3 Alvis and Alvis Live!
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***7.4.4 Alice
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***7.4.5 Jeliot 3/Jeliot 2000
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***7.4.6 JHAVÉ
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***7.4.7 WinHipe
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***7.4.8 User Studies Compilation
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**7.5 Chapter Notes
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*8 Biomedical Information Visualization (M. Lungu, K. Xu)
 +
**8.1 Phylogenetic Tree Visualization
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***8.1.1 Small Trees – Working in Euclidean Space
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***8.1.2 Large Trees – Using Focus and Context
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***8.1.3 Very Large Trees – Hyperbolic 3D Space
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***8.1.4 Discussion and Further Reading
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**8.2 Sequence Alignment
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***8.2.1 Sequence Logos
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***8.2.2 Editing and Visualizing Sequence Alignment: Jalview
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***8.2.3 Vista: Online Visualization of DNA Alignment
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***8.2.4 Sequence Walkers
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***8.2.5 Dot Plots
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***8.2.6 Arc Diagrams
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***8.2.7 Discussion and Further Reading
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**8.3 Biochemical Network Analysis
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***8.3.1 Cytoscape
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***8.3.2 Biochemical Pathway Analysis
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***8.3.3 Layout for Large Biochemical Networks: LGL
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***8.3.4 Discussion and Further Reading
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**8.4 Microarray Data Visualization
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***8.4.1 TreeView
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***8.4.2 Hierarchical Clustering Explorer
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***8.4.3 Evaluation of Microarray Visualization Tools
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**8.5 Medical Records Visualization
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***8.5.1 LifeLines: Visualizing Patient Temporal Data
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***8.5.2 The Cube: Multidimensional Analysis of Medical Records
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***8.5.3 Visualizing Medical Practice Guidelines and Protocols
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**8.6 Chapter Notes
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*Bibliography
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*Author Index
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*Index
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== References ==
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[Springer, 2007] Book description page [http://www.springer.com/dal/home/generic/search/results?SGWID=1-40109-22-173738796-0]
 +
 
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[[Category:Books]]

Latest revision as of 09:06, 17 August 2010

[Springer, 2007]

Type: Softcover
Editors: Andreas Kerren, Achim Ebert, and Jörg Meyer
Pages: 403
Publisher: Springer
Publication Date: July 2007
Series: Volume 4417 of LNCS Tutorial


This tutorial book features an augmented selection of the material presented at the GI-Dagstuhl Research Seminar on Human-Centered Visualization Environments, HCVE 2006, held in Dagstuhl Castle, Germany in March 2006. It presents eight tutorial lectures that are the thoroughly cross-reviewed and revised versions of the summaries and findings presented and discussed at the seminar. After an introduction to human-centered visualization environments, the book shows the fundamental principles and methods in that area, such as human-centered aspects, interacting with visualizations, visual representations, as well as challenges and unsolved problems. The book also includes lectures on domain-specific visualization describing geographic visualization, algorithm animation, and biomedical information visualization. [Springer, 2007]



ISBN 978-3-540-71948-9

Table of Contents[edit]

  • Preface
  • List of Contributors
  • 1 Introduction to Human-Centered Visualization Environments (A. Kerren, A. Ebert, and J. Meyer)
  • 2 Human-Centered Aspects (O. Kulyk, R. Kosara, J. Urquiza, and I. Wassink)
    • 2.1 Human-Centered Approach
    • 2.2 Usability in Human-Centered Design
      • 2.2.1 Defining Usability
      • 2.2.2 Evaluating Usability
      • 2.2.3 Improving Usability
      • 2.2.4 Usability and Information Overload
    • 2.3 User Aims and Requirements
      • 2.3.1 Characteristics of Good Visualizations and User Interfaces
      • 2.3.2 Essential Elements of Successful Visualization
      • 2.3.3 Dimensions in Visualization
      • 2.3.4 Steps in Visualization Design
      • 2.3.5 The Design Cycle
      • 2.3.6 User Analysis
      • 2.3.7 User Requirements
      • 2.3.8 Task Analysis
      • 2.3.9 Task Modeling
      • 2.3.10 Designing for and with Users
    • 2.4 Evaluation of Visualization Environments
      • 2.4.1 Human-Centered Evaluation in Visualization Practice
      • 2.4.2 Evaluation Methods
      • 2.4.3 Designing Experiments
      • 2.4.4 Challenges in Evaluation of Collaborative Visualization Environments
    • 2.5 User Studies and a Science of Visualization
      • 2.5.1 Survey of Information Visualization Studies
      • 2.5.2 The Future of User Studies
    • 2.6 Chapter Notes
  • 3 Interacting with Visualizations (W. Fikkert, M. D’Ambros, T. Bierz, and T.J. Jankun-Kelly)
    • 3.1 Interaction
      • 3.1.1 Describing Interaction
      • 3.1.2 Defining Interaction
    • 3.2 Influences of Display Technologies
      • 3.2.1 Survey of Display Technologies
      • 3.2.2 Scales of Interaction
      • 3.2.3 Display Interaction Modalities and Media
      • 3.2.4 Interfaces and Usability for Novel Displays
      • 3.2.5 Display Device Challenges in Visualization
    • 3.3 Multimodal Interaction
      • 3.3.1 Unimodality Versus Multimodality
      • 3.3.2 Issues to Deal with in Multimodal Interaction
      • 3.3.3 Myths of Multimodality
      • 3.3.4 Survey of Enabling Technologies
      • 3.3.5 Overview of Approaches to Multimodal Interaction
      • 3.3.6 Enabling Multimodal Interaction
    • 3.4 Visualizations in Multi-party Environments
      • 3.4.1 Collaborating with Visualizations
      • 3.4.2 Models for Distributed Collaborative Visualization
      • 3.4.3 Evaluation Criteria
      • 3.4.4 Survey of Collaborative Visualization Systems
      • 3.4.5 Challenges for Multi-party Visualizations
    • 3.5 Chapter Notes
  • 4 Visual Representations (C. Görg, M. Pohl, E. Qeli, and K. Xu)
    • 4.1 Perceptual and Cognitive Issues
      • 4.1.1 The Visualization Process
      • 4.1.2 Types of Data
      • 4.1.3 Preattentive Processing
    • 4.2 Information Visualization Criteria and Metaphors
      • 4.2.1 Information Visualization Criteria
      • 4.2.2 Metaphors
    • 4.3 Multivariate Visualization Techniques
      • 4.3.1 Low-Dimensional Data Visualization
      • 4.3.2 Multidimensional Data Visualization
      • 4.3.3 Usability Issues on Multidimensional Data Visualization
    • 4.4 Graphs and Trees
      • 4.4.1 Applications
      • 4.4.2 Background
      • 4.4.3 Aesthetics vs. Graph Readability
      • 4.4.4 Layout vs. Graph Readability
      • 4.4.5 Large Graphs
      • 4.4.6 Integrated Graph Drawing
      • 4.4.7 Labeling of Graphs
    • 4.5 Multiple Views
      • 4.5.1 Classification
      • 4.5.2 The Design of Multiple Views
      • 4.5.3 Interaction
      • 4.5.4 Comparison with Integrated Views
    • 4.6 Chapter Notes
  • 5 Challenges and Unsolved Problems (R.S. Laramee, R. Kosara)
    • 5.1 Classification of Future Challenges and Unsolved Problems in Human-Centered Visualization
      • 5.1.1 Human-Centered Challenges
      • 5.1.2 Technical Challenges
      • 5.1.3 Financial Challenges
    • 5.2 Chapter Notes
  • 6 Geographic Visualization (M. Nöllenburg)
    • 6.1 Goals of Geovisualization
    • 6.2 Driving Forces of Geovisualization
    • 6.3 Cognitive Aspects
      • 6.3.1 Visual Thinking
      • 6.3.2 Graphic Variables
    • 6.4 Visualization Methods and Techniques
      • 6.4.1 Geospatial Data
      • 6.4.2 2D Cartographic Visualization
      • 6.4.3 3D Cartographic Visualization
      • 6.4.4 Visual Data Mining Tools
      • 6.4.5 Animation
      • 6.4.6 Spatio-Temporal Visualization
      • 6.4.7 Interactive User Interfaces
      • 6.4.8 Combining Visual and Computational Exploration
    • 6.5 Geovisualization Tools
    • 6.6 Usability of Geovisualization Systems
      • 6.6.1 Involving Users in the Design of Geovisualizations
      • 6.6.2 Results from User Studies
      • 6.6.3 Geovisualization to Support Group Work
    • 6.7 Chapter Notes
  • 7 Algorithm Animation (A. Moreno)
    • 7.1 Overview
    • 7.2 Users of Algorithm Animation
    • 7.3 Taxonomies for Algorithm Animation Tools
    • 7.4 Review of Tools and Their Evaluations
      • 7.4.1 Concept Keyboards for Algorithm Visualization
      • 7.4.2 Matrix and MatrixPro
      • 7.4.3 Alvis and Alvis Live!
      • 7.4.4 Alice
      • 7.4.5 Jeliot 3/Jeliot 2000
      • 7.4.6 JHAVÉ
      • 7.4.7 WinHipe
      • 7.4.8 User Studies Compilation
    • 7.5 Chapter Notes
  • 8 Biomedical Information Visualization (M. Lungu, K. Xu)
    • 8.1 Phylogenetic Tree Visualization
      • 8.1.1 Small Trees – Working in Euclidean Space
      • 8.1.2 Large Trees – Using Focus and Context
      • 8.1.3 Very Large Trees – Hyperbolic 3D Space
      • 8.1.4 Discussion and Further Reading
    • 8.2 Sequence Alignment
      • 8.2.1 Sequence Logos
      • 8.2.2 Editing and Visualizing Sequence Alignment: Jalview
      • 8.2.3 Vista: Online Visualization of DNA Alignment
      • 8.2.4 Sequence Walkers
      • 8.2.5 Dot Plots
      • 8.2.6 Arc Diagrams
      • 8.2.7 Discussion and Further Reading
    • 8.3 Biochemical Network Analysis
      • 8.3.1 Cytoscape
      • 8.3.2 Biochemical Pathway Analysis
      • 8.3.3 Layout for Large Biochemical Networks: LGL
      • 8.3.4 Discussion and Further Reading
    • 8.4 Microarray Data Visualization
      • 8.4.1 TreeView
      • 8.4.2 Hierarchical Clustering Explorer
      • 8.4.3 Evaluation of Microarray Visualization Tools
    • 8.5 Medical Records Visualization
      • 8.5.1 LifeLines: Visualizing Patient Temporal Data
      • 8.5.2 The Cube: Multidimensional Analysis of Medical Records
      • 8.5.3 Visualizing Medical Practice Guidelines and Protocols
    • 8.6 Chapter Notes
  • Bibliography
  • Author Index
  • Index

References[edit]

[Springer, 2007] Book description page [1]