Demo Data from EDBT 2026 / reviewers in the wild / expert
Roland Riek
dblp:146/5240
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-6333-066XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
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 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › proteomics › mass spectrometry data analysis
automated peak picking |
0.7 | 1 | 2023 | NMRtist: an online platform for automated biomolecular NMR spectra analysis · Bioinform. 2023 |
Bioinformatics and computational biology › structural bioinformatics
chemical shift assignment |
0.7 | 1 | 2023 | NMRtist: an online platform for automated biomolecular NMR spectra analysis · Bioinform. 2023 |
Bioinformatics and computational biology › structural biology
NMR spectroscopy |
0.7 | 1 | 2023 | NMRtist: an online platform for automated biomolecular NMR spectra analysis · Bioinform. 2023 |
Bioinformatics and computational biology
structural bioinformatics |
0.7 | 1 | 2023 | NMRtist: an online platform for automated biomolecular NMR spectra analysis · Bioinform. 2023 |
Bioinformatics and computational biology › structural bioinformatics
protein structure determination |
0.2 | 1 | 2023 | NMRtist: an online platform for automated biomolecular NMR spectra analysis · Bioinform. 2023 |
Methods — techniques the papers use, named apart from their topics
large-scale optimization · 0.7deep learning · 0.7cloud computing · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | NMRtist: an online platform for automated biomolecular NMR spectra analysisabstractSUMMARY: We present NMRtist, an online platform that combines deep learning, large-scale optimization and cloud computing to automate protein NMR spectra analysis. Our website provides virtual storage for NMR spectra deposition together with a set of applications designed for automated peak picking, chemical shift assignment and protein structure determination. The system can be used by non-experts and allows protein assignments and structures to be determined within hours after the measurements, strictly without any human intervention. AVAILABILITY AND IMPLEMENTATION: NMRtist is freely available to non-commercial users at https://nmrtist.org. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Piotr Klukowski, Roland Riek, Peter Güntert |
Bioinform. | 2 |