%0 Journal Article %1 Klamt2011Application %A Klamt, Steffen %A von Kamp, Axel %D 2011 %J Bio Systems %K api reaction-networks software-tool %N 2 %P 162--168 %R 10.1016/j.biosystems.2011.02.002 %T An application programming interface for CellNetAnalyzer. %U http://dx.doi.org/10.1016/j.biosystems.2011.02.002 %V 105 %X CellNetAnalyzer (CNA) is a MATLAB toolbox providing computational methods for studying structure and function of metabolic and cellular signaling networks. In order to allow non-experts to use these methods easily, CNA provides GUI-based interactive network maps as a means of parameter input and result visualization. However, with the availability of high-throughput data, there is a need to make CNA's functionality also accessible in batch mode for automatic data processing. Furthermore, as some algorithms of CNA are of general relevance for network analysis it would be desirable if they could be called as sub-routines by other applications. For this purpose, we developed an API (application programming interface) for CNA allowing users (i) to access the content of network models in CNA, (ii) to use CNA's network analysis capabilities independent of the GUI, and (iii) to interact with the GUI to facilitate the development of graphical plugins. Here we describe the organization of network projects in CNA and the application of the new API functions to these projects. This includes the creation of network projects from scratch, loading and saving of projects and scenarios, and the application of the actual analysis methods. Furthermore, API functions for the import/export of metabolic models in SBML format and for accessing the GUI are described. Lastly, two example applications demonstrate the use and versatile applicability of CNA's API. CNA is freely available for academic use and can be downloaded from http://www.mpi-magdeburg.mpg.de/projects/cna/cna.html.

@article{Klamt2011Application, abstract = {{CellNetAnalyzer} ({CNA}) is a {MATLAB} toolbox providing computational methods for studying structure and function of metabolic and cellular signaling networks. In order to allow non-experts to use these methods easily, {CNA} provides {GUI}-based interactive network maps as a means of parameter input and result visualization. However, with the availability of high-throughput data, there is a need to make {CNA}'s functionality also accessible in batch mode for automatic data processing. Furthermore, as some algorithms of {CNA} are of general relevance for network analysis it would be desirable if they could be called as sub-routines by other applications. For this purpose, we developed an {API} (application programming interface) for {CNA} allowing users (i) to access the content of network models in {CNA}, (ii) to use {CNA}'s network analysis capabilities independent of the {GUI}, and (iii) to interact with the {GUI} to facilitate the development of graphical plugins. Here we describe the organization of network projects in {CNA} and the application of the new {API} functions to these projects. This includes the creation of network projects from scratch, loading and saving of projects and scenarios, and the application of the actual analysis methods. Furthermore, {API} functions for the import/export of metabolic models in {SBML} format and for accessing the {GUI} are described. Lastly, two example applications demonstrate the use and versatile applicability of {CNA}'s {API}. {CNA} is freely available for academic use and can be downloaded from http://www.mpi-magdeburg.mpg.de/projects/cna/cna.html.}, added-at = {2018-12-02T16:09:07.000+0100}, author = {Klamt, Steffen and von Kamp, Axel}, biburl = {https://www.bibsonomy.org/bibtex/207eb4227d29a533ec641fcd0b9982a6c/karthikraman}, citeulike-article-id = {8821007}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.biosystems.2011.02.002}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/21315797}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=21315797}, day = 21, doi = {10.1016/j.biosystems.2011.02.002}, interhash = {a70d962960653786bd38b1b5fcffa9b9}, intrahash = {07eb4227d29a533ec641fcd0b9982a6c}, issn = {1872-8324}, journal = {Bio Systems}, keywords = {api reaction-networks software-tool}, month = aug, number = 2, pages = {162--168}, pmid = {21315797}, posted-at = {2011-02-15 08:51:23}, priority = {2}, timestamp = {2018-12-02T16:09:07.000+0100}, title = {An application programming interface for {CellNetAnalyzer}.}, url = {http://dx.doi.org/10.1016/j.biosystems.2011.02.002}, volume = 105, year = 2011 }