Demo Data from EDBT 2026 / reviewers in the wild / expert
Andrea Schafferhans
dblp:66/2215 · also Andrea Schafferhans-Fuhrmann
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2015
0000-0002-5569-6186ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2Systems, architecture and hardware · 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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
biological database |
0.0 | 1 | 2004 | The SRS 3D module: integrating structures, sequences and features · Bioinform. 2004 |
Bioinformatics and computational biology › data integration
biological data integration |
0.0 | 1 | 2004 | The SRS 3D module: integrating structures, sequences and features · Bioinform. 2004 |
Bioinformatics and computational biology › structural bioinformatics
protein structure database |
0.0 | 1 | 2004 | The SRS 3D module: integrating structures, sequences and features · Bioinform. 2004 |
Bioinformatics and computational biology › structural bioinformatics › sequence-structure relationship
sequence-structure integration |
0.0 | 1 | 2004 | The SRS 3D module: integrating structures, sequences and features · Bioinform. 2004 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Integrated visual analysis of protein structures, sequences, and feature dataabstractBACKGROUND: To understand the molecular mechanisms that give rise to a protein's function, biologists often need to (i) find and access all related atomic-resolution 3D structures, and (ii) map sequence-based features (e.g., domains, single-nucleotide polymorphisms, post-translational modifications) onto these structures. RESULTS: To streamline these processes we recently developed Aquaria, a resource offering unprecedented access to protein structure information based on an all-against-all comparison of SwissProt and PDB sequences. In this work, we provide a requirements analysis for several frequently occuring tasks in molecular biology and describe how design choices in Aquaria meet these requirements. Finally, we show how the interface can be used to explore features of a protein and gain biologically meaningful insights in two case studies conducted by domain experts. CONCLUSIONS: The user interface design of Aquaria enables biologists to gain unprecedented access to molecular structures and simplifies the generation of insight. The tasks involved in mapping sequence features onto structures can be conducted easier and faster using Aquaria. Christian Stolte, Kenneth Sabir, Julian Heinrich, Christopher J. Hammang, Andrea Schafferhans, Seán I. O'Donoghue |
BMC Bioinform. | 5 |
| 2004 | The SRS 3D module: integrating structures, sequences and featuresabstractAbstract Summary: In this paper we present SRS 3D, a new service that allows users to easily and rapidly find all related structures for a given target sequence; structures can then be viewed together with sequences, alignments and sequence features (currently from UniProt, InterPro and PDB). Extensive user feedback confirms that SRS 3D is intuitive and useful especially for those not expert in structures. Availability: An SRS 3D server is provided at http://srs3d.ebi.ac.uk/ Supplementary information: Complete documentation is available (click the ‘Help’ button after login). Product information can be found at http://www.lionbioscience.com/SRS3D/products/srs/srs-3d Seán I. O'Donoghue, Joachim E. W. Meyer, Andrea Schafferhans, Karsten Fries |
Bioinform. | 3 |
| 2003 | An Overlay-Network Approach for Distributed Access to SRSabstractSRS is a widely used system for integrating biological databases. Currently, SRS relies only on locally provided copies of these databases. In this paper we propose a mechanism that also allows the seamless integration of remote databases. To this end, our proposed mechanism splits the existing SRS functionality into two components and adds a third component that enables us to employ peer-to-peer computing techniques to create optimized overlay-networks within which database queries can efficiently be routed. As an additional benefit, this mechanism also reduces the administration effort that would be needed with a conventional approach using replicated databases. Thomas Fuhrmann, Andrea Schafferhans, Thure Etzold |
CCGRID | 2 |