Demo Data from VLDB 2026 / reviewers in the wild / expert
Finja Wrzodek
dblp:119/6506 · also Finja Büchel
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2015
0000-0001-5031-1016ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 3 · 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
3 papers |
Bioinformatics and computational biology · 100% |
Topics — the 6 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › systems biology
model exchange format |
0.2 | 1 | 2015 | JSBML 1.0: providing a smorgasbord of options to encode systems biology models · Bioinform. 2015 |
Bioinformatics and computational biology
systems biology |
0.2 | 1 | 2015 | JSBML 1.0: providing a smorgasbord of options to encode systems biology models · Bioinform. 2015 |
Bioinformatics and computational biology
gene expression analysis |
0.2 | 1 | 2013 | InCroMAP: integrated analysis of cross-platform microarray and pathway data · Bioinform. 2013 |
Bioinformatics and computational biology › systems bioinformatics
pathway analysis |
0.2 | 1 | 2013 | InCroMAP: integrated analysis of cross-platform microarray and pathway data · Bioinform. 2013 |
Bioinformatics and computational biology › systems bioinformatics › pathway analysis
pathway-based data integration |
0.2 | 1 | 2013 | InCroMAP: integrated analysis of cross-platform microarray and pathway data · Bioinform. 2013 |
Bioinformatics and computational biology › systems biology › computational systems biology
systems biology modeling |
0.0 | 1 | 2012 | Qualitative translation of relations from BioPAX to SBML qual · Bioinform. 2012 |
Methods — techniques the papers use, named apart from their topics
java library · 0.2gene set enrichment analysis · 0.2data visualization · 0.2qualitative model translation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | JSBML 1.0: providing a smorgasbord of options to encode systems biology modelsabstractUNLABELLED: JSBML, the official pure Java programming library for the Systems Biology Markup Language (SBML) format, has evolved with the advent of different modeling formalisms in systems biology and their ability to be exchanged and represented via extensions of SBML. JSBML has matured into a major, active open-source project with contributions from a growing, international team of developers who not only maintain compatibility with SBML, but also drive steady improvements to the Java interface and promote ease-of-use with end users. AVAILABILITY AND IMPLEMENTATION: Source code, binaries and documentation for JSBML can be freely obtained under the terms of the LGPL 2.1 from the website http://sbml.org/Software/JSBML. More information about JSBML can be found in the user guide at http://sbml.org/Software/JSBML/docs/. CONTACT: [email protected] or [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Nicolas Rodriguez 0001, Alex Thomas, Leandro H. Watanabe, Ibrahim Y. Vazirabad, Victor Kofia, Harold F. Gómez, Florian Mittag, Jakob Matthes, Jan Rudolph, Finja Wrzodek, Eugen Netz, Alexander Diamantikos, Johannes Eichner, Roland Keller, Clemens Wrzodek, Sebastian Fröhlich, Nathan E. Lewis, Chris J. Myers, Nicolas Le Novère, Bernhard O. Palsson, Michael Hucka, Andreas Dräger |
Bioinform. | 10 |
| 2013 | InCroMAP: integrated analysis of cross-platform microarray and pathway dataabstractSUMMARY: Microarrays are commonly used to detect changes in gene expression between different biological samples. For this purpose, many analysis tools have been developed that offer visualization, statistical analysis and more sophisticated analysis methods. Most of these tools are designed specifically for messenger RNA microarrays. However, today, more and more different microarray platforms are available. Changes in DNA methylation, microRNA expression or even protein phosphorylation states can be detected with specialized arrays. For these microarray technologies, the number of available tools is small compared with mRNA analysis tools. Especially, a joint analysis of different microarray platforms that have been used on the same set of biological samples is hardly supported by most microarray analysis tools. Here, we present InCroMAP, a tool for the analysis and visualization of high-level microarray data from individual or multiple different platforms. Currently, InCroMAP supports mRNA, microRNA, DNA methylation and protein modification datasets. Several methods are offered that allow for an integrated analysis of data from those platforms. The available features of InCroMAP range from visualization of DNA methylation data over annotation of microRNA targets and integrated gene set enrichment analysis to a joint visualization of data from all platforms in the context of metabolic or signalling pathways. AVAILABILITY: InCroMAP is freely available as Java™ application at www.cogsys.cs.uni-tuebingen.de/software/InCroMAP, including a comprehensive user's guide and example files. Clemens Wrzodek, Johannes Eichner, Finja Wrzodek, Andreas Zell |
Bioinform. | 3 |
| 2012 | Qualitative translation of relations from BioPAX to SBML qualabstractMOTIVATION: The biological pathway exchange language (BioPAX) and the systems biology markup language (SBML) belong to the most popular modeling and data exchange languages in systems biology. The focus of SBML is quantitative modeling and dynamic simulation of models, whereas the BioPAX specification concentrates mainly on visualization and qualitative analysis of pathway maps. BioPAX describes reactions and relations. In contrast, SBML core exclusively describes quantitative processes such as reactions. With the SBML qualitative models extension (qual), it has recently also become possible to describe relations in SBML. Before the development of SBML qual, relations could not be properly translated into SBML. Until now, there exists no BioPAX to SBML converter that is fully capable of translating both reactions and relations. RESULTS: The entire nature pathway interaction database has been converted from BioPAX (Level 2 and Level 3) into SBML (Level 3 Version 1) including both reactions and relations by using the new qual extension package. Additionally, we present the new webtool BioPAX2SBML for further BioPAX to SBML conversions. Compared with previous conversion tools, BioPAX2SBML is more comprehensive, more robust and more exact. AVAILABILITY: BioPAX2SBML is freely available at http://webservices.cs.uni-tuebingen.de/ and the complete collection of the PID models is available at http://www.cogsys.cs.uni-tuebingen.de/downloads/Qualitative-Models/. Finja Wrzodek, Clemens Wrzodek, Florian Mittag, Andreas Dräger, Johannes Eichner, Nicolas Rodriguez 0001, Nicolas Le Novère, Andreas Zell |
Bioinform. | 1 |