ArticleBioinformatics (Oxford, England)2026
COCOA.jl-a Julia package for high-performance analysis of concordance and kinetic modules in biochemical networks.
Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
motivationRecent 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.
resultsHere, we introduce COCOA.jl, a multithreaded Julia package for identification of concordant and kinetic modules, with applications in the study of concentration robustness. AVAILABILITY: 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.
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