Demo Data from EDBT 2026 / reviewers in the wild / expert
David Grocutt
dblp:135/5900
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis › motif discovery
DNA motif discovery |
0.2 | 1 | 2013 | cisExpress: motif detection in DNA sequences · Bioinform. 2013 |
Bioinformatics and computational biology › gene regulation
promoter analysis |
0.2 | 1 | 2013 | cisExpress: motif detection in DNA sequences · Bioinform. 2013 |
Bioinformatics and computational biology › gene regulation
regulatory genomics |
0.2 | 1 | 2013 | cisExpress: motif detection in DNA sequences · Bioinform. 2013 |
Methods — techniques the papers use, named apart from their topics
task farming algorithm · 0.2shared memory parallelization · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | cisExpress: motif detection in DNA sequencesabstractMOTIVATION: One of the major challenges for contemporary bioinformatics is the analysis and accurate annotation of genomic datasets to enable extraction of useful information about the functional role of DNA sequences. This article describes a novel genome-wide statistical approach to the detection of specific DNA sequence motifs based on similarities between the promoters of similarly expressed genes. This new tool, cisExpress, is especially designed for use with large datasets, such as those generated by publicly accessible whole genome and transcriptome projects. cisExpress uses a task farming algorithm to exploit all available computational cores within a shared memory node. We demonstrate the robust nature and validity of the proposed method. It is applicable for use with a wide range of genomic databases for any species of interest. AVAILABILITY: cisExpress is available at www.cisexpress.org. Martin Triska, David Grocutt, James Southern, Denis J. Murphy, Tatiana V. Tatarinova |
Bioinform. | 2 |