{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T02:42:50Z","timestamp":1768876970693,"version":"3.49.0"},"reference-count":8,"publisher":"Oxford University Press (OUP)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: SPSens is a software package for the efficient computation of stochastic parameter sensitivities of biochemical reaction networks. Parameter sensitivity analysis is a valuable tool that can be used to study robustness properties, for drug targeting, and many other purposes. However its application to stochastic models has been limited when Monte Carlo methods are required due to extremely high computational costs. SPSens provides efficient, state of the art sensitivity analysis algorithms in a single software package so that sensitivity analysis can be easily performed on stochastic models of biochemical reaction networks. SPSens implements the algorithms in C and estimates sensitivities with respect to both infinitesimal and finite perturbations to system parameters, in many cases reducing variance by orders of magnitude compared to basic methods. Included among the features of SPSens are serial and parallel command line versions, an interface with Matlab, and several example problems.<\/jats:p>\n               <jats:p>Availability: SPSens is distributed freely under GPL version 3 and can be downloaded from http:\/\/sourceforge.net\/projects\/spsens\/. The software can be run on Linux, Mac OS X and Windows platforms.<\/jats:p>\n               <jats:p>Contact: \u00a0mustafa.khammash@bsse.ethz.ch<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/bts642","type":"journal-article","created":{"date-parts":[[2012,10,27]],"date-time":"2012-10-27T00:18:50Z","timestamp":1351297130000},"page":"140-142","source":"Crossref","is-referenced-by-count":10,"title":["SPSens: a software package for stochastic parameter sensitivity analysis of biochemical reaction networks"],"prefix":"10.1093","volume":"29","author":[{"given":"Patrick W.","family":"Sheppard","sequence":"first","affiliation":[{"name":"1 Department of Biosystems Science and Engineering, ETH\u2013Zurich, Basel 4058, Switzerland and 2Department of Mathematics and Statistics, University of Maryland, Baltimore County, Baltimore, MD 21250, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muruhan","family":"Rathinam","sequence":"additional","affiliation":[{"name":"1 Department of Biosystems Science and Engineering, ETH\u2013Zurich, Basel 4058, Switzerland and 2Department of Mathematics and Statistics, University of Maryland, Baltimore County, Baltimore, MD 21250, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mustafa","family":"Khammash","sequence":"additional","affiliation":[{"name":"1 Department of Biosystems Science and Engineering, ETH\u2013Zurich, Basel 4058, Switzerland and 2Department of Mathematics and Statistics, University of Maryland, Baltimore County, Baltimore, MD 21250, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2012,10,25]]},"reference":[{"key":"2023020303202407900_bts642-B1","doi-asserted-by":"crossref","first-page":"2237","DOI":"10.1137\/110849079","article-title":"An efficient finite difference method for parameter sensitivities of continuous time markov chains","volume":"50","author":"Anderson","year":"2012","journal-title":"SIAM J. 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