{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T20:05:41Z","timestamp":1780689941163,"version":"3.54.1"},"reference-count":7,"publisher":"Oxford University Press (OUP)","issue":"8","license":[{"start":{"date-parts":[[2017,12,1]],"date-time":"2017-12-01T00:00:00Z","timestamp":1512086400000},"content-version":"vor","delay-in-days":1,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001659","name":"German Research Foundation","doi-asserted-by":"publisher","award":["686282"],"award-info":[{"award-number":["686282"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,4,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>Mathematical modeling using ordinary differential equations is used in systems biology to improve the understanding of dynamic biological processes. The parameters of ordinary differential equation models are usually estimated from experimental data. To analyze a priori the uniqueness of the solution of the estimation problem, structural identifiability analysis methods have been developed.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We introduce GenSSI 2.0, an advancement of the software toolbox GenSSI (Generating Series for testing Structural Identifiability). GenSSI 2.0 is the first toolbox for structural identifiability analysis to implement Systems Biology Markup Language import, state\/parameter transformations and multi-experiment structural identifiability analysis. In addition, GenSSI 2.0 supports a range of MATLAB versions and is computationally more efficient than its previous version, enabling the analysis of more complex models.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>GenSSI 2.0 is an open-source MATLAB toolbox and available at https:\/\/github.com\/genssi-developer\/GenSSI.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btx735","type":"journal-article","created":{"date-parts":[[2017,11,29]],"date-time":"2017-11-29T04:11:39Z","timestamp":1511928699000},"page":"1421-1423","source":"Crossref","is-referenced-by-count":118,"title":["GenSSI 2.0: multi-experiment structural identifiability analysis of SBML models"],"prefix":"10.1093","volume":"34","author":[{"given":"Thomas S","family":"Ligon","sequence":"first","affiliation":[{"name":"Faculty of Physics and Center for NanoScience (CeNS), Ludwig-Maximilians-Universit\u00e4t, M\u00fcnchen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fabian","family":"Fr\u00f6hlich","sequence":"additional","affiliation":[{"name":"Institute of Computational Biology, Helmholtz Zentrum M\u00fcnchen, M\u00fcnchen, Germany"},{"name":"Center of Mathematics, Technische Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oana T","family":"Chi\u015f","sequence":"additional","affiliation":[{"name":"Technological Institute for Industrial Mathematics, University of Santiago de Compostela, Santiago de Compostela, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julio R","family":"Banga","sequence":"additional","affiliation":[{"name":"(Bio)Process Engineering Group, Spanish National Research Council, IIM-CSIC, Vigo, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eva","family":"Balsa-Canto","sequence":"additional","affiliation":[{"name":"(Bio)Process Engineering Group, Spanish National Research Council, IIM-CSIC, Vigo, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4935-3312","authenticated-orcid":false,"given":"Jan","family":"Hasenauer","sequence":"additional","affiliation":[{"name":"Institute of Computational Biology, Helmholtz Zentrum M\u00fcnchen, M\u00fcnchen, Germany"},{"name":"Center of Mathematics, Technische Universit\u00e4t M\u00fcnchen, M\u00fcnchen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2017,11,30]]},"reference":[{"key":"2023012713010550800_btx735-B1","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.mbs.2012.04.005","article-title":"Minimal output sets for identifiability","volume":"239","author":"Anguelova","year":"2012","journal-title":"Math. 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