Computational reproducibility, traceability, compliance, and collaboration at scale
Code Ocean is for pharmaceutical companies that value reliable compliance, collaboration, and reproducibility in cloud-based multidisciplinary computational research teams.
Key benefits for pharmaceutical companies
Get reproducible and traceable results
All work in Code Ocean is automatically tracked with integrated Git and based on a FAIR data and analytics architecture. Any result data can be traced back through every computational step, down to the exact versions of code, data, environment, and compute resource.
Set clear standards across your organization
Deploy your preferred environments and enforce their use. Code Ocean lets you import your own existing base images, or create starter environment/Docker base images from existing Capsules. Users set up their own environments with full traceability.
Reduce the DevOps workload for your IT team
Code Ocean handles repetitive DevOps and SysAdmin tasks associated with computational research. Capsules auto-generate Docker and let users set their own compute resources as required, with idleness detection and shutdown helping to control costs.
Integrate with your existing Identity Provider
Code Ocean integrates SAML and OIDC as well as SCIM to allow administrators to control access to the system from a central Identity provider. AWS Assumable Roles integration also allows administrators to assign IAM roles.
Make powerful workflows more accessible
Quickly construct, clone, or import top-tier bioinformatics pipelines. Employ a visual builder that automatically writes Nextflow code, import from public or private Git repositories, or import from nf-core. Pipelines run out-of-the-box on AWS Batch, leveraging parallelized computing.
Increase collaboration between teams
Users can share everything from basic analyses to complex pipelines with other individual users, or with whole groups within your organization. They can assign permissions to co-develop, or to let them duplicate and take things in a new direction.
Who uses Code Ocean?
“The biggest win at Lantern is the pipelines we developed, and the value of Code Ocean was that it allowed the whole team to work together ... we had a shared environment for collaboration.”
Peter Carr
Principal Platform Architect, Lantern Pharma
“Code Ocean sped up our internal image pre-processing computational workflow by at least 10x, improving collaboration and productivity between our global teams ... removing the need for painful cloud computing infrastructure set up.”
Dimitris Polychronopoulos
Director of In Silico Biology, Ochre Bio
“Code Ocean's self-service capabilities make it easy for our scientists to do their work reproducibly. New users to the platform can get far with just a little support, giving our engineers time to focus on domain-specific challenges.”
Dr. David Feng
Director of Scientific Computing, Allen Institute
“Code Ocean totally solves tracking and reproducing analysis for researchers and increases trust in the results.”
Benjamin Haibe-Kains, Ph.D
Director of In Silico Biology, Ochre Bio
Key product features
Built for Computational Science
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Data analysis
Data analysis
Use ready-made template Compute Capsules to analyze your data, develop your data analysis workflow in your preferred language and IDE using any open-source software, and take advantage of built-in containerization to guarantee reproducibility.
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Data management
Data management
Manage your organization's data and control who has access to it. Built specifically to meet all FAIR principles, data management in Code Ocean uses custom metadata and controlled vocabularies to ensure consistency and improve searchability.
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Bioinformatics pipelines
Bioinformatics pipelines
Build, configure and monitor bioinformatics pipelines from scratch using a visual builder for easy set-up. Or, import from nf-core in one click for instant access to a curated set of best practice analysis pipelines. Runs on AWS Batch out-of-the-box, so your pipelines scale automatically. No setup needed.
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ML models
ML model development
Code Ocean is uniquely suited for Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI. Install GPU-ready environments and provision GPU resources in a few clicks. Integration with MLFlow allows you to develop models, track parameters, manage models from development to production, while enjoying out-of-the-box reproducibility and lineage.
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Multiomics
Multiomics
Analyze and work with large multimodal datasets efficiently using scalable compute and storage resources, cached packages for R and Python, preloaded multiomics analysis software that works out of the box and full lineage and reproducibility.
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Imaging
Imaging
Process images using a variety of tools: from dedicated desktop applications to custom-written deep learning pipelines, from a few individual files to petabyte-sized datasets. No DevOps required, always with lineage.
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Cloud management
Cloud management
Code Ocean makes it easy to manage data and provision compute: CPUs, GPUs, and RAM. Assign flex machines and dedicated machines to manage what is available to your users. Spot instances, idleness detection, and automated shutdown help reduce cloud costs.
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Data/model provenance
Data/model provenance
Keep track of all data and results with automated result provenance and lineage graph generation. Assess reproducibility with a visual representation of every Capsule, Pipeline, and Data asset involved in a computation.
Data analysis
Use ready-made template Compute Capsules to analyze your data, develop your data analysis workflow in your preferred language and IDE using any open-source software, and take advantage of built-in containerization to guarantee reproducibility.
Data management
Manage your organization's data and control who has access to it. Built specifically to meet all FAIR principles, data management in Code Ocean uses custom metadata and controlled vocabularies to ensure consistency and improve searchability.
Bioinformatics pipelines
Build, configure and monitor bioinformatics pipelines from scratch using a visual builder for easy set-up. Or, import from nf-core in one click for instant access to a curated set of best practice analysis pipelines. Runs on AWS Batch out-of-the-box, so your pipelines scale automatically. No setup needed.
ML model development
Code Ocean is uniquely suited for Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI. Install GPU-ready environments and provision GPU resources in a few clicks. Integration with MLFlow allows you to develop models, track parameters, manage models from development to production, while enjoying out-of-the-box reproducibility and lineage.
Multiomics
Analyze and work with large multimodal datasets efficiently using scalable compute and storage resources, cached packages for R and Python, preloaded multiomics analysis software that works out of the box and full lineage and reproducibility.
Imaging
Process images using a variety of tools: from dedicated desktop applications to custom-written deep learning pipelines, from a few individual files to petabyte-sized datasets. No DevOps required, always with lineage.
Cloud management
Code Ocean makes it easy to manage data and provision compute: CPUs, GPUs, and RAM. Assign flex machines and dedicated machines to manage what is available to your users. Spot instances, idleness detection, and automated shutdown help reduce cloud costs.
Data/model provenance
Keep track of all data and results with automated result provenance and lineage graph generation. Assess reproducibility with a visual representation of every Capsule, Pipeline, and Data asset involved in a computation.