{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T20:33:59Z","timestamp":1772138039930,"version":"3.50.1"},"reference-count":10,"publisher":"Oxford University Press (OUP)","issue":"19","license":[{"start":{"date-parts":[[2020,7,16]],"date-time":"2020-07-16T00:00:00Z","timestamp":1594857600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Summary<\/jats:title>\n                    <jats:p>OCSANA+ is a Cytoscape app for identifying nodes to drive the system toward a desired long-term behavior, prioritizing combinations of interventions in large-scale complex networks, and estimating the effects of node perturbations in signaling networks, all based on the analysis of the network\u2019s structure. OCSANA+ includes an update to optimal combinations of interventions from network analysis software tool with cutting-edge and rigorously tested algorithms, together with recently developed structure-based control algorithms for non-linear systems and an algorithm for estimating signal flow. All these algorithms are based on the network\u2019s topology. OCSANA+ is implemented as a Cytoscape app to enable a user interface for running analyses and visualizing results.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>OCSANA+ app and its tutorial can be downloaded from the Cytoscape App Store or https:\/\/veraliconaresearchgroup.github.io\/OCSANA-Plus\/. The source code and computations are available in https:\/\/github.com\/VeraLiconaResearchGroup\/OCSANA-Plus_SourceCode.<\/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\/btaa625","type":"journal-article","created":{"date-parts":[[2020,7,9]],"date-time":"2020-07-09T23:20:38Z","timestamp":1594336838000},"page":"4960-4962","source":"Crossref","is-referenced-by-count":4,"title":["OCSANA+: optimal control and simulation of signaling networks from network analysis"],"prefix":"10.1093","volume":"36","author":[{"given":"Lauren","family":"Marazzi","sequence":"first","affiliation":[{"name":"Center for Quantitative Medicine"}]},{"given":"Andrew","family":"Gainer-Dewar","sequence":"additional","affiliation":[{"name":"Center for Quantitative Medicine"}]},{"given":"Paola","family":"Vera-Licona","sequence":"additional","affiliation":[{"name":"Center for Quantitative Medicine"},{"name":"Department of Cell Biology"},{"name":"Department of Pediatrics"},{"name":"Institute for Systems Genomics, University of Connecticut School of Medicine , Farmington, CT 06030, USA"}]}],"member":"286","published-online":{"date-parts":[[2020,7,16]]},"reference":[{"key":"2023062408065028900_btaa625-B1","volume-title":"Finite Sets, North-Holland Math. 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