Porcupine

Porcupine enables construction and automated code generation for reproducible neuroimaging data analysis pipelines.

Key Features:

• Pipeline specification: Specifies analysis pipelines as interconnected processing nodes to represent processing steps and data flow.
• Automatic code generation: Automatically generates analysis code from the pipeline specification.
• Code customization: Allows manual modification of the generated analysis code to tailor processing steps.
• Reproducible environment packaging: Produces a Docker image that encapsulates the runtime environment for shareable, reproducible execution.
• Integration with Nipype and standard tools: Integrates with Nipype functionalities to access standard neuroimaging tools and interfaces.

Scientific Applications:

• Reproducible neuroimaging analyses: Enables creation and sharing of reproducible analysis workflows for neuroimaging studies.
• Method specification and communication: Supports clear specification and exchange of processing pipelines to improve transparency and comparability of methods.

Methodology:

Porcupine generates analysis code from pipeline specifications, integrates with Nipype functions, produces Docker images of the execution environment, and permits manual edits to the generated code.