Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Finja Wrzodek

dblp:119/6506 · also Finja Büchel · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › systems biology
model exchange format
0.212015
JSBML 1.0: providing a smorgasbord of options to encode systems biology models · Bioinform. 2015
Bioinformatics and computational biology
systems biology
0.212015
JSBML 1.0: providing a smorgasbord of options to encode systems biology models · Bioinform. 2015
Bioinformatics and computational biology
gene expression analysis
0.212013
InCroMAP: integrated analysis of cross-platform microarray and pathway data · Bioinform. 2013
Bioinformatics and computational biology › systems bioinformatics
pathway analysis
0.212013
InCroMAP: integrated analysis of cross-platform microarray and pathway data · Bioinform. 2013
Bioinformatics and computational biology › systems bioinformatics › pathway analysis
pathway-based data integration
0.212013
InCroMAP: integrated analysis of cross-platform microarray and pathway data · Bioinform. 2013
Bioinformatics and computational biology › systems biology › computational systems biology
systems biology modeling
0.012012
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
YearPublicationVenuePosition
2015 JSBML 1.0: providing a smorgasbord of options to encode systems biology models
abstract
UNLABELLED: 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 data
abstract
SUMMARY: 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 qual
abstract
MOTIVATION: 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