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Enterprise Layer Intelligence
Categories/Healthcare & Life Sciences/Code Ocean
Code Ocean

Code Ocean

Founded 2013

Run and reproduce computational science workflows in the cloud

You can use Code Ocean to create, organize, and execute reproducible computational research code and data pipelines. It provides secure cloud environments called compute capsules, which bundle code, data, computing environments, and results together. Researchers in computational biology, genomics, and chemistry can collaborate across distributed teams, run pipeline workflows, and trace data lineage across complex experiments. You can integrate programming languages such as Python, R, and Julia, automate large-scale high-performance computing workloads, and maintain data governance across life science projects.

What Code Ocean does

Build executable compute capsules containing code and dependenciesRun high-throughput genomic data pipelinesShare interactive research notebooks with external collaboratorsTrack version history and data lineage across computational experimentsLaunch on-demand cloud compute instances for intensive calculationsExport reproducible scientific analyses for peer-reviewed publicationPackage code, data, and environment settings into reproducible compute capsulesExecute distributed scientific computing pipelines using NextflowConnect directly with cloud object storage repositoriesRun interactive coding sessions in JupyterLab and RStudioTrack complete provenance and lineage for every computational runShare computational assets securely with role-based access controlScale compute resources on demand without managing servers

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Code Ocean, reproducible research, compute capsules, bioinformatics, computational biology, data pipelines, genomics, scientific computing, Nextflow, JupyterLab, RStudio, data lineage, cloud computing, research data management, life sciences