Demo Data from VLDB 2026 / reviewers in the wild / expert
Ian John Donaldson
dblp:73/5175
· DBLP profile ↗
1ranked-venue papers
1as 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 · 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 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › gene regulation › gene regulatory network
gene regulatory network analysis |
0.1 | 1 | 2005 | TFBScluster: a resource for the characterization of transcriptional regulatory networks · Bioinform. 2005 |
Bioinformatics and computational biology › gene regulation › transcription factor binding site prediction
transcription factor binding site cluster identification |
0.1 | 1 | 2005 | TFBScluster: a resource for the characterization of transcriptional regulatory networks · Bioinform. 2005 |
Methods — techniques the papers use, named apart from their topics
comparative genomics · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | TFBScluster: a resource for the characterization of transcriptional regulatory networksabstractSUMMARY: One major challenge of the post-sequencing era of the human genome project will be the functional annotation of the non-coding portion of the genome, in particular gene regulatory sequences. We have developed a new web-based tool, TFBScluster, which performs genome-wide identification of transcription factor binding site clusters that are conserved in multiple mammalian genomes. Clusters representing candidate gene regulatory elements can be filtered further, based on the presence or absence of additional user-defined DNA sequence motifs or by constraining the orientation or order of binding sites. Comprehensive results files, returned by email, are designed to facilitate experimental validation of computationally identified candidate gene regulatory sequences. TFBScluster, therefore, has the potential to contribute to deciphering transcriptional networks that regulate a wide range of mammalian developmental processes. Ian John Donaldson, Michael Chapman, Berthold Göttgens |
Bioinform. | 1 |