.. _home-page-about: ************** About the course ************** .. autosummary:: :toctree: generated This slow-paced hands-on internal course is designed for absolute beginners who want to start using `Nextflow DSL2 `_ to achieve reproducibility of the data analysis. .. |luca| image:: images/lcozzuto.jpg :alt: Alternative text .. |toni| image:: images/thermoso.jpg :alt: Alternative text .. |julia| image:: images/jponomarenko.jpg :alt: Alternative text .. list-table:: Main instructors: :widths: 50 50 50 :header-rows: 1 * - Luca Cozzuto - Toni Hermoso - Julia Ponomarenko * - |luca| - |toni| - |julia| .. _home-page-dates Dates, time, location ========================= * Dates: From 6th of February to 9th of February 2024. * Location: ALBA. Program ------------------------ *Day 1: Understand and run a basic Nexflow pipeline* * 10:00-11:00 Introduction to Nextflow * 11:00-11:30 Break * 11:30-13:00 Making simple scripts: channels operators and workflows *Day 1: Write, modify, and run a complex pipeline* * 14:30-15:30 More complex scripts * 15:30-16:00 Break * 16:00-17:30 Directive and resuming *Day 2: Linux containers* * 14:00-15:00 - Linux containers. Docker introduction and running * 15:00-15.30 - Break * 15:30-17.00 - Building Docker containers. Singularity/Apptainer *Day 3: Run a Nextflow pipeline in different environments* * 14:00-15:00 Singularity and more processes * 15:00-15.30 Break * 15:30-17.00 Profiles and cloud *Day 4: Nextflow modules and Tower* * 14:00-15:00 Modules * 15:00-15.30 Break * 15:30-17.00 Tower .. _home-page-outline: Outline ============ This Nextflow course will train participants to build Nextflow pipelines and run them with Linux containers. .. _home-page-learning: Learning objectives ============ * Execute/Run a Nextflow pipeline. * Describe and explain Nextflow basic concepts. * Test and modify a Nextflow pipeline. * Implement short blocks of code into a Nextflow pipeline. * Understand, run and build Linux containers * Use containers in Nextflow processes * Develop a Nextflow pipeline from scratch. * Run a pipeline in diverse computational environments (local, HPC, cloud). * Share a pipeline. .. _home-page-prereq: Prerequisite / technical requirements ============ Being comfortable working with the CLI (command-line interface) in a Linux-based environment. Knowledge of containers is not mandatory. The course materials is online in the dedicated GitHub page for self-learning. Having a `GitHub account `_ is recommended.