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Use when users need to test bioinformatics workflows or pipelines with YAML definitions in pytest. Covers authoring `test*.yml` files, validating schema keys (`name`, `command`, `files`, `stdout`, `st
Use with AI
Install the MCP server or CLI to instantly fetch pytest-workflow documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/pytest-workflow
Bioconda — community-driven Conda channel providing 12,000+ bioinformatics packages with pinned dependencies and reproducible environments. Supports recipe creation, environment management, containeri
1 shared topic • 3 shared operations
Conda and Mamba package/environment management for bioinformatics. Create, export, and reproduce isolated software environments using conda or mamba (fast C++ solver). Manage Bioconda channels, resolv
1 shared topic • 3 shared operations
Docker — container platform for building, running, and distributing reproducible bioinformatics environments. Provides Dockerfile authoring, image management, container execution with volume mounts fo
1 shared topic • 3 shared operations
Dockstore — open platform for sharing Docker-based bioinformatics tools and workflows written in CWL, WDL, Nextflow, and Galaxy. Provides workflow discovery, versioned registrations, TRS API for progr
1 shared topic • 3 shared operations
Papermill — parameterize, execute, and analyze Jupyter notebooks from the command line or Python API. Enables reproducible notebook-based bioinformatics pipelines by injecting parameters into tagged c
1 shared topic • 3 shared operations