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MOLNs: A cloud platform for interactive, reproducible, and scalable spatial stochastic computational experiments in systems biology using PyURDME
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computational Science.
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2016 (English)In: SIAM Journal on Scientific Computing, ISSN 1064-8275, E-ISSN 1095-7197, Vol. 38, p. C179-C202Article in journal (Refereed) Published
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2016. Vol. 38, p. C179-C202
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Software Engineering Biochemistry Molecular Biology
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URN: urn:nbn:se:uu:diva-295626DOI: 10.1137/15M1014784ISI: 000385282800037OAI: oai:DiVA.org:uu-295626DiVA, id: diva2:934197
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eSSENCEAvailable from: 2016-06-01 Created: 2016-06-08 Last updated: 2025-02-20Bibliographically approved

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Toor, SalmanHellander, Andreas

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