EDBT 2026 Demo / reviewers in the wild / expert
Clemens H. M. Kocken
dblp:75/7065
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
0000-0002-4784-1734ORCID · reported
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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
gene expression |
0.1 | 1 | 2009 | Gene regulation in the intraerythrocytic cycle of Plasmodium falciparum · Bioinform. 2009 |
Bioinformatics and computational biology
gene regulation |
0.1 | 1 | 2009 | Gene regulation in the intraerythrocytic cycle of Plasmodium falciparum · Bioinform. 2009 |
Methods — techniques the papers use, named apart from their topics
noisy threshold model · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Gene regulation in the intraerythrocytic cycle of Plasmodium falciparumabstractMOTIVATION: To date, there is little knowledge about one of the processes fundamental to the biology of Plasmodium falciparum, gene regulation including transcriptional control. We use noisy threshold models to identify regulatory sequence elements explaining membership to a gene expression cluster where each cluster consists of genes active during the part of the developmental cycle inside a red blood cell. Our approach is both able to capture the combinatorial nature of gene regulation and to incorporate uncertainty about the functionality of putative regulatory sequence elements. RESULTS: We find a characteristic pattern where the most common motifs tend to be absent upstream of genes active in the first half of the cycle and present upstream of genes active in the second half. We find no evidence that motif's score, orientation, location and multiplicity improves prediction of gene expression. Through comparative genome analysis, we find a list of potential transcription factors and their associated motifs. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Rasa Jurgelenaite, Tjeerd Dijkstra, Clemens H. M. Kocken, Tom Heskes |
Bioinform. | 3 |