Demo Data from EDBT 2026 / reviewers in the wild / expert
Andreas D. Schenk
dblp:76/8711
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2010
0000-0001-9214-2505ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
computational structural biology |
0.1 | 1 | 2010 | OpenStructure: a flexible software framework for computational structural biology · Bioinform. 2010 |
Methods — techniques the papers use, named apart from their topics
python bindings · 0.1c++ library · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | OpenStructure: a flexible software framework for computational structural biologyabstractMOTIVATION: Developers of new methods in computational structural biology are often hampered in their research by incompatible software tools and non-standardized data formats. To address this problem, we have developed OpenStructure as a modular open source platform to provide a powerful, yet flexible general working environment for structural bioinformatics. OpenStructure consists primarily of a set of libraries written in C++ with a cleanly designed application programmer interface. All functionality can be accessed directly in C++ or in a Python layer, meeting both the requirements for high efficiency and ease of use. Powerful selection queries and the notion of entity views to represent these selections greatly facilitate the development and implementation of algorithms on structural data. The modular integration of computational core methods with powerful visualization tools makes OpenStructure an ideal working and development environment. Several applications, such as the latest versions of IPLT and QMean, have been implemented based on OpenStructure-demonstrating its value for the development of next-generation structural biology algorithms. AVAILABILITY: Source code licensed under the GNU lesser general public license and binaries for MacOS X, Linux and Windows are available for download at http://www.openstructure.org. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Marco Biasini, Valerio Mariani, Stefan Scheuber, Andreas D. Schenk, Torsten Schwede, Ansgar Philippsen |
Bioinform. | 5 |