Co-located with EuroVis 2018, June 4, 2018, Brno, Czech Republic


Computational Analysis of Dynamic Molecular Data
An Accelerated Online PCA with O(1) Complexity for Learning Molecular Dynamics Data
Salaheddin Alakkari and John Dingliana
Atomic Accessibility Radii for Molecular Dynamics Analysis
Norbert Lindow, Daniel Baum, and Hans-Christian Hege
Frameworks for Molecular Data Visualization
VIA-MD: Visual Interactive Analysis of Molecular Dynamics
Robin Skånberg, Mathieu Linares, Carolin Konig, Patrick Norman, Daniel Jönsson, Ingrid Hotz, and Anders Ynnerman
Mol*: Towards a Common Library and Tools for Web Molecular Graphics
David Sehnal, Alexander Rose, Jaroslav Koca, Stephen Burley, and Sameer Velankar

Recent Submissions

  • Mol*: Towards a Common Library and Tools for Web Molecular Graphics 

    Sehnal, David; Rose, Alexander; Koca, Jaroslav; Burley, Stephen; Velankar, Sameer (The Eurographics Association, 2018)
    Advances in experimental techniques are providing access to structures of ever more complex and larger macromolecular systems. Web-browser based visualization and analysis of macromolecular structures and associated data ...
  • VIA-MD: Visual Interactive Analysis of Molecular Dynamics 

    Skånberg, Robin; Linares, Mathieu; König, Carolin; Norman, Patrick; Jönsson, Daniel; Hotz, Ingrid; Ynnerman, Anders (The Eurographics Association, 2018)
    We present a visual exploration environment tailored for large-scale spatio-temporal molecular dynamics simulation data. The environment is referred to as VIA-MD (visual interactive analysis of molecular dynamics) and has ...
  • Atomic Accessibility Radii for Molecular Dynamics Analysis 

    Lindow, Norbert; Baum, Daniel; Hege, Hans-Christian (The Eurographics Association, 2018)
    In molecular structure analysis and visualization, the molecule's atoms are often modeled as hard spheres parametrized by their positions and radii. While the atom positions result from experiments or molecular simulations, ...
  • An Accelerated Online PCA with O(1) Complexity for Learning Molecular Dynamics Data 

    Alakkari, Salaheddin; Dingliana, John (The Eurographics Association, 2018)
    In this paper, we discuss the problem of decomposing complex and large Molecular Dynamics trajectory data into simple low-resolution representation using Principal Component Analysis (PCA). Since applying standard PCA for ...
  • MolVA 2018: Frontmatter 

    Byška, Jan; Krone, Michael; Sommer, Björn (The Eurographics Association, 2018)