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Silvia Fademrecht

dblp:190/2278 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
information visualization
0.312017
Molecular Surface Maps · IEEE Trans. Vis. Comput. Graph. 2017
Visualization and visual analytics › biological data visualization
molecular surface visualization
0.312017
Molecular Surface Maps · IEEE Trans. Vis. Comput. Graph. 2017
Visualization and visual analytics › scientific visualization
molecular visualization
0.312017
Molecular Surface Maps · IEEE Trans. Vis. Comput. Graph. 2017
Visualization and visual analytics › spatiotemporal visualization
space-time cube
0.312017
Molecular Surface Maps · IEEE Trans. Vis. Comput. Graph. 2017
Bioinformatics and computational biology › molecular informatics
molecular data analysis
0.112017
Molecular Surface Maps · IEEE Trans. Vis. Comput. Graph. 2017

Methods — techniques the papers use, named apart from their topics

world map metaphor · 0.6spherical mapping · 0.6
YearPublicationVenuePosition
2017 Molecular Surface Maps
abstract
We present Molecular Surface Maps, a novel, view-independent, and concise representation for molecular surfaces. It transfers the well-known world map metaphor to molecular visualization. Our application maps the complex molecular surface to a simple 2D representation through a spherical intermediate, the Molecular Surface Globe. The Molecular Surface Map concisely shows arbitrary attributes of the original molecular surface, such as biochemical properties or geometrical features. This results in an intuitive overview, which allows researchers to assess all molecular surface attributes at a glance. Our representation can be used as a visual summarization of a molecule's interface with its environment. In particular, Molecular Surface Maps simplify the analysis and comparison of different data sets or points in time. Furthermore, the map representation can be used in a Space-time Cube to analyze time-dependent data from molecular simulations without the need for animation. We show the feasibility of Molecular Surface Maps for different typical analysis tasks of biomolecular data.
Michael Krone, Florian Frieß, Katrin Scharnowski, Guido Reina, Silvia Fademrecht, Tobias Kulschewski, Jürgen Pleiss, Thomas Ertl
IEEE Trans. Vis. Comput. Graph.5