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A simple clustering of the BioModels database using semanticSBML Nature Precedings
Falko Krause; Wolfram Liebermeister.
The BioModels database contains biochemical network models in SBML format, in which the biochemical meaning of elements is specified by MIRIAM-compliant RDF annotations. We used these annotations to define a similarity measure for models, scoring the overlap of the biochemical systems described. Based on this score, we used two-way clustering to detect groups of similar models and groups of co-occuring model elements. To recognize and compare biochemical elements, we used routines from the software semanticSBML. A Python script extracts all MIRIAM annotations (regardless of their qualifiers) using the semanticSBML annotation classes. The result is a matrix in which the rows represent the models (e.g. BioModel 001), while the columns represent specific...
Tipo: Poster Palavras-chave: Bioinformatics.
Ano: 2009 URL: http://precedings.nature.com/documents/3444/version/1
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semanticSBML 2.0 - A Collection of Online Services for SBML Models Nature Precedings
Falko Krause; Timo Lubitz; Marvin Schulz; Edda Klipp.
semanticSBML 2.0 is a collection of online services for the processing of biochemical networks in the SBML (Systems Biology Markup Language) document format. It allows users to edit SBO (Systems Biology Ontology) and RDF based MIRIAM (Minimum Information Required in the Annotation of Models) annotations, check for semantic validity, compare and merge SBML documents, and to create submodels. Given an annotated SBML document similar SBML documents can be retrieved from the BioModels Database via a ranked similarity search. Further features of semanticSBML 2.0 include graph visualization of SBML documents, parameter balancing, creation of SBML documents using shorthand SBML, and an interface to the BioModels Database that allows the comparison of document...
Tipo: Poster Palavras-chave: Bioinformatics; Data Standards.
Ano: 2010 URL: http://precedings.nature.com/documents/5402/version/1
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SBML Level 3 Package Proposal: Annotation Nature Precedings
Dagmar Waltemath; Neil Swainston; Allyson L. Lister; Frank Bergmann; Ron Henkel; Stefan Hoops; Michael Hucka; Nick Juty; Sarah Keating; Christian Knuepfer; Falko Krause; Camille Laibe; Wolfram Liebermeister; Catherine Lloyd; Goksel Misirli; Marvin Schulz; Morgan Taschuk; Nicolas Le Novère.
The annotation of Systems Biology Markup Language (SBML) models with semantic terms has been supported for a number of years. The prevalence of such annotated models is growing, with repositories such as Biomodels.net and an increasing number of software tools supporting and encouraging their use and development.

With the increasing use of semantic annotations in the context of systems biology modeling has come the realization that the current Core SBML specification defining their use contains limitations that reduce the scope of metadata that can be captured in such models.

SBML Level 3 provides the facility to propose and develop optional extensions to the Core specification. One such...
Tipo: Manuscript Palavras-chave: Bioinformatics; Data Standards.
Ano: 2011 URL: http://precedings.nature.com/documents/5610/version/1
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SemanticSBML – state of affairs Nature Precedings
Wolfram Liebermeister; Falko Krause; Marvin Schulz; Timo Lubitz.
A number of new functions in the software tool semanticSBML make extensive use of MIRIAM-compliant annotations in SBML models. Semantic model search allows to obtain, from BioModels Database, a ranked list of models resembling a given query model or data set. Model clustering allows for exploring and visualising similarities among large numbers of SBML models. Parameter balancing uses collected kinetic constants - retrieved by using semantic annotations - to infer consistent sets of model parameters.
Tipo: Presentation Palavras-chave: Bioinformatics.
Ano: 2010 URL: http://precedings.nature.com/documents/4987/version/1
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SemanticSBML: a tool for annotating, checking, and merging of biochemical models in SBML format Nature Precedings
Wolfram Liebermeister; Falko Krause; Jannis Uhlendorf; Timo Lubitz; Edda Klipp.
Semantic annotations in SBML (systems biology markup language) enable computer programs to check and process biochemical models based on their biochemical meaning. Annotations are an important prerequisite for model merging, which would be a major step towards the construction of large-scale cell models. The software tool semanticSBML allows users to check and edit MIRIAM annotations and SBO terms, the most common forms of annotation in SBML models. It uses a large collection of biochemical names and database identifiers to support modellers in finding the right annotations. Annotated SBML models can also be built from lists of chemical reactions. In model merging, semanticSBML suggests a preliminary merged model based on MIRIAM annotations in the original...
Tipo: Poster Palavras-chave: Bioinformatics.
Ano: 2009 URL: http://precedings.nature.com/documents/3093/version/1
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