Detailed Information on Publication Record
2013
A Comprehensive Web-based Platform For Domain-Specific Biological Models
KLEMENT, Matej, David ŠAFRÁNEK, Tadeáš DĚD, Aleš PEJZNOCH, Ladislav NEDBAL et. al.Basic information
Original name
A Comprehensive Web-based Platform For Domain-Specific Biological Models
Authors
KLEMENT, Matej (703 Slovakia, belonging to the institution), David ŠAFRÁNEK (203 Czech Republic, guarantor, belonging to the institution), Tadeáš DĚD (203 Czech Republic, belonging to the institution), Aleš PEJZNOCH (203 Czech Republic, belonging to the institution), Ladislav NEDBAL (203 Czech Republic), Ralf STEUER (276 Germany), Jan ČERVENÝ (203 Czech Republic) and Stefan MUELLER (40 Austria)
Edition
Neuveden, Proceedings of the fourth International Workshop on Interactions between Computer Science and Biology (CS2Bio'13), p. 61-67, 7 pp. 2013
Publisher
Elsevier
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
References:
RIV identification code
RIV/00216224:14330/13:00068771
Organization unit
Faculty of Informatics
ISSN
UT WoS
000216920700006
Keywords in English
systems biology; modelling; mode repository; database
Tags
International impact, Reviewed
Změněno: 24/4/2014 18:17, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
A Comprehensive Modeling Platform, that is, a general framework for public sharing, annotation, and visualization of domain-specific biological models, is presented. For a selected organism, the framework is instantiated as a web-based application which allows to capture several aspects of biological models represented as biochemical reaction networks or ordinary differential equations. The key feature of the instantiation for a given organism relies on mapping kinetic models to a precise textual and a schematic graphical representation of the related biological knowledge, thereby supporting the systems biological view of the modeled organism. Besides model repository and annotation, the platform includes basic model analysis features such as simulation and static analysis.
Links
EE2.3.20.0256, research and development project |
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