Modified on Thu, 7 Sep, 2023 at 8:31 AM

Nextflow is an open-source computational workflow framework that simplifies the process of writing, sharing, and executing scientific workflows. It addresses the challenges of reproducibility, scalability, and portability in bioinformatics, genomics, and other scientific research fields and can be used for a wide range of data analysis and processing tasks. 

Features include:

Data-driven: Nextflow can automatically track changes in input data and determine which parts of the workflow need to be re-executed. This ensures reproducibility and efficient use of computational resources.

Portability: Nextflow is platform-agnostic, so users can run the same workflow on 

different computing environments, including local machines, clusters, cloud providers like AWS and Google Cloud, and HPC (High-Performance Computing) systems.

Declarative syntax: With Nextflow, you can describe workflow steps and their relationships without specifying the exact execution details, making it more portable and easier to maintain.

Parallelism: Nextflow simplifies parallel and distributed computing, supporting efficient execution of tasks across multiple CPU cores or even across different machines in a cluster.

Dependency management: Nextflow handles software dependencies and containerization, making it easier to manage the different software versions and libraries required for analysis.


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