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

Simple item page
dc.contributor.authorSehnal, Daviden_US
dc.contributor.authorRose, Alexanderen_US
dc.contributor.authorKoca, Jaroslaven_US
dc.contributor.authorBurley, Stephenen_US
dc.contributor.authorVelankar, Sameeren_US
dc.contributor.editorJan Byska and Michael Krone and Björn Sommeren_US
dc.date.accessioned2018-06-02T17:49:34Z
dc.date.available2018-06-02T17:49:34Z
dc.date.issued2018
dc.description.abstractAdvances 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 represents a crucial step in gaining knowledge from these data. A common library and a set of tools for working with such macromolecular data sets would streamline this step. We present a project called Mol* (/'mol-star/) whose goal is to provide a common library and a set of tools for macromolecular data visualization and analysis. The project includes modules for data storage, in-memory representation, query language, UI state management, and visualization; and tools for efficient data access.en_US
dc.description.sectionheadersFrameworks for Molecular Data Visualization
dc.description.seriesinformationWorkshop on Molecular Graphics and Visual Analysis of Molecular Data
dc.identifier.doi10.2312/molva.20181103
dc.identifier.isbn978-3-03868-061-1
dc.identifier.pages29-33
dc.identifier.urihttps://doi.org/10.2312/molva.20181103
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/molva20181103
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectRendering
dc.subjectGraphics systems and interfaces
dc.subjectApplied computing
dc.subjectBioinformatics
dc.titleMol*: Towards a Common Library and Tools for Web Molecular Graphicsen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
029-033.pdf
Size:
836.6 KB
Format:
Adobe Portable Document Format
Download
Collections
MolVa: Workshop on Molecular Graphics and Visual Analysis of Molecular Data 2018