The identification of large regulatory and signalling networks involved in the control of
crucial cellular processes calls for proper modelling approaches. Indeed, models can help …

A central goal of systems biology is the construction of predictive models of bio-molecular
networks. Cellular networks of moderate size have been modeled successfully in a …

Mechanistic computational models enable the study of regulatory mechanisms implicated in
various biological processes. These models provide a means to analyze the dynamics of the …

Here we introduce bioLQM, a new Java software toolkit for the conversion, modification, and
analysis of Logical Qualitative Models of biological regulatory networks. BioLQM provides …

The fast accumulation of biological data calls for their integration, analysis and exploitation
through more systematic approaches. The generation of novel, relevant hypotheses from …

Background Qualitative frameworks, especially those based on the logical discrete
formalism, are increasingly used to model regulatory and signalling networks. A major …

The logical (or logic) formalism is increasingly used to model regulatory and signaling
networks. Complementing these applications, several groups contributed various methods …

Background Structural analysis of cellular interaction networks contributes to a deeper
understanding of network-wide interdependencies, causal relationships, and basic …

Background The analysis of biochemical networks using a logical (Boolean) description is
an important approach in Systems Biology. Recently, new methods have been proposed to …

Background A central goal of Systems Biology is to model and analyze biological signaling
pathways that interact with one another to form complex networks. Here we introduce …