%0 Journal Article %1 Ebrahim2013COBRApy %A Ebrahim, Ali %A Lerman, Joshua A. %A Palsson, Bernhard O. %A Hyduke, Daniel R. %D 2013 %I BioMed Central Ltd %J BMC Systems Biology %K constraint-based-modelling flux-analysis python software-tool %N 1 %P 74+ %R 10.1186/1752-0509-7-74 %T COBRApy: COnstraints-Based Reconstruction and Analysis for Python %U http://dx.doi.org/10.1186/1752-0509-7-74 %V 7 %X COnstraint-Based Reconstruction and Analysis (COBRA) methods are widely used for genome-scale modeling of metabolic networks in both prokaryotes and eukaryotes. Due to the successes with metabolism, there is an increasing effort to apply COBRA methods to reconstruct and analyze integrated models of cellular processes. The COBRA Toolbox for MATLAB is a leading software package for genome-scale analysis of metabolism; however, it was not designed to elegantly capture the complexity inherent in integrated biological networks and lacks an integration framework for the multiomics data used in systems biology. The openCOBRA Project is a community effort to promote constraints-based research through the distribution of freely available software.

@article{Ebrahim2013COBRApy, abstract = {{COnstraint}-Based Reconstruction and Analysis ({COBRA}) methods are widely used for genome-scale modeling of metabolic networks in both prokaryotes and eukaryotes. Due to the successes with metabolism, there is an increasing effort to apply {COBRA} methods to reconstruct and analyze integrated models of cellular processes. The {COBRA} Toolbox for {MATLAB} is a leading software package for genome-scale analysis of metabolism; however, it was not designed to elegantly capture the complexity inherent in integrated biological networks and lacks an integration framework for the multiomics data used in systems biology. The {openCOBRA} Project is a community effort to promote constraints-based research through the distribution of freely available software.}, added-at = {2018-12-02T16:09:07.000+0100}, author = {Ebrahim, Ali and Lerman, Joshua A. and Palsson, Bernhard O. and Hyduke, Daniel R.}, biburl = {https://www.bibsonomy.org/bibtex/29bab6d26fcbd746e97c22019c1e22242/karthikraman}, citeulike-article-id = {12615973}, citeulike-linkout-0 = {http://dx.doi.org/10.1186/1752-0509-7-74}, citeulike-linkout-1 = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3751080/}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/23927696}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=23927696}, day = 08, doi = {10.1186/1752-0509-7-74}, interhash = {2ce94230694ee919c0432d7e9a86b0be}, intrahash = {9bab6d26fcbd746e97c22019c1e22242}, issn = {1752-0509}, journal = {BMC Systems Biology}, keywords = {constraint-based-modelling flux-analysis python software-tool}, month = aug, number = 1, pages = {74+}, pmcid = {PMC3751080}, pmid = {23927696}, posted-at = {2013-09-12 07:06:11}, priority = {2}, publisher = {BioMed Central Ltd}, timestamp = {2018-12-02T16:09:07.000+0100}, title = {{COBRApy}: {COnstraints}-Based Reconstruction and Analysis for Python}, url = {http://dx.doi.org/10.1186/1752-0509-7-74}, volume = 7, year = 2013 }