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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.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>Here, we describe COBRA for Python (COBRApy), a Python package that provides support for basic COBRA methods. COBRApy is designed in an object-oriented fashion that facilitates the representation of the complex biological processes of metabolism and gene expression. COBRApy does not require MATLAB to function; however, it includes an interface to the COBRA Toolbox for MATLAB to facilitate use of legacy codes. For improved performance, COBRApy includes parallel processing support for computationally intensive processes.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>COBRApy is an object-oriented framework designed to meet the computational challenges associated with the next generation of stoichiometric constraint-based models and high-density omics data sets.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Availability<\/jats:title>\n            <jats:p>\n              <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/opencobra.sourceforge.net\/\" ext-link-type=\"uri\">http:\/\/opencobra.sourceforge.net\/<\/jats:ext-link>\n            <\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1752-0509-7-74","type":"journal-article","created":{"date-parts":[[2013,8,8]],"date-time":"2013-08-08T20:26:06Z","timestamp":1375993566000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1285,"title":["COBRApy: COnstraints-Based Reconstruction and Analysis for Python"],"prefix":"10.1186","volume":"7","author":[{"given":"Ali","family":"Ebrahim","sequence":"first","affiliation":[]},{"given":"Joshua A","family":"Lerman","sequence":"additional","affiliation":[]},{"given":"Bernhard O","family":"Palsson","sequence":"additional","affiliation":[]},{"given":"Daniel R","family":"Hyduke","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2013,8,8]]},"reference":[{"key":"1129_CR1","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1038\/nbt1401","volume":"26","author":"AM Feist","year":"2008","unstructured":"Feist AM, Palsson BO: The growing scope of applications of genome-scale metabolic reconstructions using Escherichia coli. 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