Demo Data from VLDB 2026 / reviewers in the wild / expert
N. Pfluger
dblp:88/4494
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1990
—ORCID · none
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% | |
| Theoretical computer science
1 paper |
Algorithms and data structures · 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 prediction |
0.0 | 1 | 1990 | Structure detection through automated covariance search · Comput. Appl. Biosci. 1990 |
Algorithms and data structures › computational biology
sequence analysis |
0.0 | 1 | 1990 | Structure detection through automated covariance search · Comput. Appl. Biosci. 1990 |
Methods — techniques the papers use, named apart from their topics
covariation analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1990 | Structure detection through automated covariance searchabstractThis paper summarizes our investigations into the computational detection of secondary and tertiary structure of ribosomal RNA. We have developed a new automated procedure that not only identifies potential secondary and tertiary structural interactions, but also provides the covariation evidence that supports the proposed bondings, and any counterevidence that can be detected in the known sequences. A small number of previously unknown higher-order structural features have been detected in individual RNA molecules (16S rRNA and 7S RNA) through the use of our automated procedure. We are systematically studying mitochondrial rRNA, seeking tertiary structure within 16S rRNA and quaternary structure between 16S and 23S rRNA. To test hypotheses suggested by an examination of our program's output, our colleagues in biology are sequencing key portions of the 23S ribosomal RNA for species in which the known 16S ribosomal RNA exhibits variation (from the dominant pattern) at the site of a proposed bonding. Our ultimate hope is that automated covariation analysis will contribute significantly to a refined picture of ribosomal structure. Steven K. Winker, Ross A. Overbeek, Carl R. Woese, Gary J. Olsen, N. Pfluger |
Comput. Appl. Biosci. | 5 |