## Scientific Workflow Management Systems

### 1. Snakemake
Snakemake is designed for ease of use, scalability, and reproducibility of scientific workflows. The workflows are written using a Python-inspired language.

- [Documentation](https://snakemake.readthedocs.io/en/stable/)
- [Tutorial](https://snakemake.readthedocs.io/en/stable/tutorial/tutorial.html)

### 2. Nextflow
Nextflow is a tool designed for scalable and reproducible scientific workflows, ideal for high-throughput data analysis.

- [Documentation](https://www.nextflow.io/docs/latest/index.html)
- [Tutorial](https://www.nextflow.io/docs/latest/getstarted.html)

### 3. Cromwell
Cromwell supports multiple languages and backends, allowing a flexible environment for different scientific needs.

- [Documentation](https://cromwell.readthedocs.io/en/stable/)
- [Tutorial](https://cromwell.readthedocs.io/en/stable/tutorials/Tutorials.html)

### 4. WDL (Workflow Description Language)
WDL is particularly useful for writing and sharing bioinformatics workflows.

- [Documentation](https://github.com/openwdl/wdl)
- [Tutorial](https://learn.wdl.org/)

### 5. CWL (Common Workflow Language)
CWL is designed to meet the needs of high-throughput data-intensive science workflows, such as genomics and machine learning.

- [Documentation](https://www.commonwl.org/user_guide/)
- [Tutorial](https://www.commonwl.org/user_guide/02-1st-example/index.html)