{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/distributedfba-jl-high-level-high-performance","title":"DistributedFBA.jl: High-level, high-performance flux balance analysis in Julia","arxiv_id":"1611.04743","date":"2016-11-15","proceeding":null,"authors":[],"abstract":"Motivation:\n  Flux balance analysis, and its variants, are widely used methods for\npredicting steady-state reaction rates in biochemical reaction networks. The\nexploration of high dimensional networks with such methods is currently\nhampered by software performance limitations.\n  Results:\n  DistributedFBA.jl is a high-level, high-performance, open-source\nimplementation of flux balance analysis in Julia. It is tailored to solve\nmultiple flux balance analyses on a subset or all the reactions of large and\nhuge-scale networks, on any number of threads or nodes.\n  Availability:\n  The code and benchmark data are freely available on\nhttp://github.com/opencobra/COBRA.jl. The documentation can be found at\nhttp://opencobra.github.io/COBRA.jl","url_abs":"http://arxiv.org/abs/1611.04743v1","url_pdf":"http://arxiv.org/pdf/1611.04743v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"distributedfba-jl-high-level-high-performance","repo_url":"https://github.com/opencobra/COBRA.jl","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"high","task_name":"Vocal Bursts Intensity Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}