{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T19:44:26Z","timestamp":1792266266220,"version":"4.4.0"},"reference-count":17,"publisher":"Oxford University Press (OUP)","issue":"10","license":[{"start":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T00:00:00Z","timestamp":1790553600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the University of Potsdam\u2019s Research Focus Group \u201cEvolutionary Systems Biology\u201d"},{"name":"the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation","award":["1644\/1\u2014512328399"],"award-info":[{"award-number":["1644\/1\u2014512328399"]}],"id":[{"id":"https:\/\/ror.org\/018mejw64","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,10,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>Recent advances in analysis of biochemical networks have contributed the identification of their modular structure based on the concept of multi reaction dependencies and kinetic coupling of reaction rates. Existing implementations of the algorithms to study modular structure do not scale well with the size of the networks, prohibiting their application with genome-scale networks.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Here, we introduce COCOA.jl, a multithreaded Julia package for identification of concordant and kinetic modules, with applications in the study of concentration robustness.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability<\/jats:title>\n                    <jats:p>COCOA.jl is implemented in Julia 1.12.6 and is freely available under the MIT license at GitHub (https:\/\/github.com\/antoniofranky\/COCOA.jl) and Zenodo (https:\/\/doi.org\/10.5281\/zenodo.22094185). It runs on Linux, macOS, and Windows; installation is supported via the Julia package manager. COCOA.jl can be called from Python via JuliaCall.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btag724","type":"journal-article","created":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T11:21:22Z","timestamp":1790594482000},"source":"Crossref","is-referenced-by-count":0,"title":["COCOA.jl\u2014a Julia package for high-performance analysis of concordance and kinetic modules in biochemical networks"],"prefix":"10.1093","volume":"42","author":[{"given":"Anton","family":"Schaffranke","sequence":"first","affiliation":[{"name":"Bioinformatics Department, Institute of Biochemistry and Biology, University of Potsdam , Potsdam, 14476,","place":["Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1367-0719","authenticated-orcid":false,"given":"Anika","family":"K\u00fcken","sequence":"additional","affiliation":[{"name":"Bioinformatics Department, Institute of Biochemistry and Biology, University of Potsdam , 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