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MonaLisa—visualization and analysis of functional modules in biochemical networks
Author(s) -
Jens Einloft,
Jörg Ackermann,
J. Nöthen,
Ina Koch
Publication year - 2013
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt165
Subject(s) - computer science , visualization , mac os , java , software , graphical user interface , mit license , computation , programming language , decomposition , petri net , os x , theoretical computer science , distributed computing , data mining , biology , ecology
Structural modeling of biochemical networks enables qualitative as well as quantitative analysis of those networks. Automated network decomposition into functional modules is a crucial point in network analysis. Although there exist approaches for the analysis of networks, there is no open source tool available that combines editing, visualization and the computation of steady-state functional modules. We introduce a new tool called MonaLisa, which combines computation and visualization of functional modules as well as an editor for biochemical Petri nets. The analysis techniques allow for network decomposition into functional modules, for example t-invariants (elementary modes), maximal common transition sets, minimal cut sets and t-clusters. The graphical user interface provides various functionalities to construct and modify networks as well as to visualize the results of the analysis.

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