Demo Data from EDBT 2026 / reviewers in the wild / expert
Daniel Alexander
dblp:241/2186
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · unresolved
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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › RNA biology › RNA analysis › RNA bioinformatics › RNA structure
RNA secondary structure |
0.4 | 1 | 2019 | RNApuzzler: efficient outerplanar drawing of RNA-secondary structures · Bioinform. 2019 |
Bioinformatics and computational biology › RNA biology › RNA analysis › RNA bioinformatics
RNA structure visualization |
0.4 | 1 | 2019 | RNApuzzler: efficient outerplanar drawing of RNA-secondary structures · Bioinform. 2019 |
Methods — techniques the papers use, named apart from their topics
constraint-based drawing · 0.4RNAturtle · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | RNApuzzler: efficient outerplanar drawing of RNA-secondary structuresabstractMOTIVATION: RNA secondary structure is a useful representation for studying the function of RNA, which captures most of the free energy of RNA folding. Using empirically determined energy parameters, secondary structures of nucleic acids can be efficiently computed by recursive algorithms. Several software packages supporting this task are readily available. As RNA secondary structures are outerplanar graphs, they can be drawn without intersection in the plane. Interpretation by the practitioner is eased when these drawings conform to a series of additional constraints beyond outerplanarity. These constraints are the reason why RNA drawing is difficult. Many RNA drawing algorithms therefore do not always produce intersection-free (outerplanar) drawings. RESULTS: To remedy this shortcoming we propose here the RNApuzzler algorithm which is guaranteed to produce intersection-free drawings. It is based on a drawing algorithm respecting constraints based on nucleotide distances (RNAturtle). We investigate relaxations of these constraints allowing for intersection-free drawings. Based on these relaxations, we implemented a fully automated, simple, and robust algorithm that produces aesthetic drawings adhering to previously established guidelines. We tested our algorithm using the RFAM database and found that we can compute intersection-free drawings of all RNAs therein efficiently. AVAILABILITY AND IMPLEMENTATION: The software can be accessed freely at: https://github.com/dwiegreffe/RNApuzzler. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Daniel Wiegreffe, Daniel Alexander, Peter F. Stadler, Dirk Zeckzer |
Bioinform. | 2 |