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Rasa Jurgelenaite

dblp:06/422 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
genomics
0.112011
FACIL: Fast and Accurate Genetic Code Inference and Logo · Bioinform. 2011
Bioinformatics and computational biology
gene expression
0.112009
Gene regulation in the intraerythrocytic cycle of Plasmodium falciparum · Bioinform. 2009
Bioinformatics and computational biology
gene regulation
0.112009
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
YearPublicationVenuePosition
2011 FACIL: Fast and Accurate Genetic Code Inference and Logo
abstract
MOTIVATION: 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 falciparum
abstract
MOTIVATION: 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. Medicine2
2006 EM Algorithm for Symmetric Causal Independence Models
Rasa Jurgelenaite, Tom Heskes
ECML1
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
ECAI1