Hermes

Hermes implements a "describe once, run anywhere" paradigm to execute bioinformatics workflows by integrating parallelization-enabled workflow management systems with distributed computing platforms using a container-based approach to standardize execution environments for reproducible, scalable analyses in hybrid cloud environments.

Key Features:

• Describe-once, run-anywhere paradigm: Enables a single workflow description to be executed across different computing platforms.
• Integration with parallelization-enabled workflow management systems and distributed computing platforms: Merges workflow managers that support parallelization with distributed computing platforms to enable scalable execution.
• Container-based execution environments: Encapsulates software and dependencies in containers to standardize execution environments and enhance portability across computing infrastructures.
• Hybrid cloud support: Supports execution across hybrid cloud environments combining on-premises and public cloud resources for scalable large-scale data processing.
• Reproducibility and standardization: Standardizes the software execution environment to ensure consistent results across platforms.

Scientific Applications:

• Cross-platform workflow execution: Execute identical bioinformatics workflows across on-premises and cloud resources.
• Scalable large-scale data analysis: Enable parallelized processing of large bioinformatics datasets.
• Reproducible computational research: Standardize environments to support reproducible analyses across platforms.

Methodology:

Integrates parallelization-enabled workflow management systems with distributed computing platforms via a container-based approach, implementing a "describe once, run anywhere" paradigm to standardize software execution environments across hybrid cloud environments.