EDBT 2026 Demo / reviewers in the wild / expert
Rasa Jurgelenaite
dblp:06/422
· DBLP profile ↗
6ranked-venue papers
4as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 2 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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
2 papers |
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
genomics |
0.1 | 1 | 2011 | FACIL: Fast and Accurate Genetic Code Inference and Logo · Bioinform. 2011 |
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
sequence logo visualization · 0.1noisy threshold model · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | FACIL: Fast and Accurate Genetic Code Inference and LogoabstractMOTIVATION: The intensification of DNA sequencing will increasingly unveil uncharacterized species with potential alternative genetic codes. A total of 0.65% of the DNA sequences currently in Genbank encode their proteins with a variant genetic code, and these exceptions occur in many unrelated taxa. RESULTS: We introduce FACIL (Fast and Accurate genetic Code Inference and Logo), a fast and reliable tool to evaluate nucleic acid sequences for their genetic code that detects alternative codes even in species distantly related to known organisms. To illustrate this, we apply FACIL to a set of mitochondrial genomic contigs of Globobulimina pseudospinescens. This foraminifer does not have any sequenced close relative in the databases, yet we infer its alternative genetic code with high confidence values. Results are intuitively visualized in a Genetic Code Logo. AVAILABILITY AND IMPLEMENTATION: FACIL is available as a web-based service at http://www.cmbi.ru.nl/FACIL/ and as a stand-alone program. Bas E. Dutilh, Rasa Jurgelenaite, Radek Szklarczyk, Sacha A. F. T. van Hijum, Harry R. Harhangi, Markus Schmid 0002, Bart de Wild, Kees-Jan Françoijs, Henk Stunnenberg, Marc Strous, Mike S. M. Jetten, Huub J. M. Op den Camp, Martijn A. Huynen |
Bioinform. | 2 |
| 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. | 1 |
| 2007 | Predicting carcinoid heart disease with the noisy-threshold classifier
Marcel van Gerven, Rasa Jurgelenaite, Babs G. Taal, Tom Heskes, Peter J. F. Lucas |
Artif. Intell. Medicine | 2 |
| 2006 | EM Algorithm for Symmetric Causal Independence Models
Rasa Jurgelenaite, Tom Heskes |
ECML | 1 |
| 2005 | Exploiting causal independence in large Bayesian networks
Rasa Jurgelenaite, Peter J. F. Lucas |
Knowl. Based Syst. | 1 |
| 2004 | Parameter Estimation in Large Causal Models
Rasa Jurgelenaite, Peter J. F. Lucas |
ECAI | 1 |