Demo Data from SIGIR 2026 / reviewers in the wild / expert
Manuela Haltmeier
dblp:78/1324
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2005
—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% |
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 › gene regulation
promoter analysis |
0.1 | 1 | 2005 | MatInspector and beyond: promoter analysis based on transcription factor binding sites · Bioinform. 2005 |
Bioinformatics and computational biology › gene regulation
transcription factor binding site prediction |
0.1 | 1 | 2005 | MatInspector and beyond: promoter analysis based on transcription factor binding sites · Bioinform. 2005 |
Bioinformatics and computational biology
gene regulation |
0.0 | 1 | 2005 | MatInspector and beyond: promoter analysis based on transcription factor binding sites · Bioinform. 2005 |
Bioinformatics and computational biology › gene regulation
regulatory network |
0.0 | 1 | 2005 | MatInspector and beyond: promoter analysis based on transcription factor binding sites · Bioinform. 2005 |
Methods — techniques the papers use, named apart from their topics
weight matrix · 0.1comparative analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | MatInspector and beyond: promoter analysis based on transcription factor binding sitesabstractMotivation: Promoter analysis is an essential step on the way to identify regulatory networks. A prerequisite for successful promoter analysis is the prediction of potential transcription factor binding sites (TFBS) with reasonable accuracy. The next steps in promoter analysis can be tackled only with reliable predictions, e.g. finding phylogenetically conserved patterns or identifying higher order combinations of sites in promoters of co-regulated genes. Results: We present a new version of the program MatInspector that identifies TFBS in nucleotide sequences using a large library of weight matrices. By introducing a matrix family concept, optimized thresholds, and comparative analysis, the enhanced program produces concise results avoiding redundant and false-positive matches. We describe a number of programs based on MatInspector allowing in-depth promoter analysis (DiAlignTF, FrameWorker) and targeted design of regulatory sequences (SequenceShaper). Availability: MatInspector and the other programs described here can be used online at http://www.genomatix.de/matinspector.html. Access is free after registration within certain limitations (e.g. the number of analysis per month is currently limited to 20 analyses of arbitrary sequences). Contact: [email protected] Supplementary information: http://www.genomatix.de/matinspector.html K. Cartharius, Kornelie Frech, Korbinian Grote, Bernward Klocke, Manuela Haltmeier, Andreas Klingenhoff, Matthias Frisch, M. Bayerlein, Thomas Werner |
Bioinform. | 5 |