Demo Data from VLDB 2026 / reviewers in the wild / expert
Matthew G. Seetin
dblp:48/9654
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 3, 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 prediction › RNA secondary structure prediction
pseudoknot prediction |
0.1 | 1 | 2012 | TurboKnot: rapid prediction of conserved RNA secondary structures including pseudoknots · Bioinform. 2012 |
Bioinformatics and computational biology › RNA biology › RNA analysis › RNA bioinformatics › RNA structure prediction
RNA secondary structure prediction |
0.1 | 1 | 2012 | TurboKnot: rapid prediction of conserved RNA secondary structures including pseudoknots · Bioinform. 2012 |
Methods — techniques the papers use, named apart from their topics
dynamic programming · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | TurboKnot: rapid prediction of conserved RNA secondary structures including pseudoknotsabstractAbstract Motivation: Many RNA molecules function without being translated into proteins, and function depends on structure. Pseudoknots are motifs in RNA secondary structures that are difficult to predict but are also often functionally important. Results: TurboKnot is a new algorithm for predicting the secondary structure, including pseudoknotted pairs, conserved across multiple sequences. TurboKnot finds 81.6% of all known base pairs in the systems tested, and 75.6% of predicted pairs were found in the known structures. Pseudoknots are found with half or better of the false-positive rate of previous methods. Availability: The program is available for download under an open-source license as part of the RNAstructure package at: http://rna.urmc.rochester.edu. Contact: [email protected] Supplementary information: Supplementary data are available at Bioinformatics online. Matthew G. Seetin, David H. Mathews |
Bioinform. | 1 |