bioRxiv preprint doi: https://doi.org/10.1101/054601; this version posted June 2, 2016. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Tellurium: A Python Based Modeling and Reproducibility Platform for Systems Biology Kiri Choi (
[email protected]),∗†‡ J. Kyle Medley (
[email protected]),†‡ Caroline Cannistra (
[email protected]),‡ Matthias K¨onig(
[email protected]),§ Lucian Smith (
[email protected]),‡ Kaylene Stocking (
[email protected]),‡ and Herbert M. Sauro (
[email protected])‡ ‡Department of Bioengineering, University of Washington, Seattle, WA 98195, USA Address: Department of Bioengineering, University of Washington, Box 355061, Seattle, WA 98195-5061, USA; Tel: (+1) 206 685 2119 §Institute for Theoretical Biology, Humboldt University of Berlin, Berlin, Germany Address : Humboldt-University Berlin, Institute for Theoretical Biology Invalidenstraße 43, 10115 Berlin, Germany; Tel: (+49) 30 20938450 keyword: systems biology, reproducibility, exchangeability, simulations, software tools May 20, 2016 ∗To whom correspondence should be addressed †These authors contributed equally to this work 1 bioRxiv preprint doi: https://doi.org/10.1101/054601; this version posted June 2, 2016. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Abstract In this article, we present Tellurium, a powerful Python-based integrated environment de- signed for model building, analysis, simulation and reproducibility in systems and synthetic biology.