This workflow is created as part of a tutorial listed on GTN. The workflow shows the steps in human copy number variance detection using the Contrl_FREEC tool. ## Associated Tutorial This workflows is part of the tutorial [Somatic Variant Discovery from WES Data Using Control-FREEC](https://training.galaxyproject.org/training-material/topics/variant-analysis/tutorials/somatic-variant-discovery/tutorial.html), available in the [GTN](https://training.galaxyproject.org) ## Features * Includes [Galaxy Workflow Tests](https://training.galaxyproject.org/training-material/faqs/gtn/workflow_run_test.html) ## Thanks to... **Workflow Author(s)**: khaled Jumah, Katarzyna Kamieniecka, Wolfgang Maier, Krzysztof Poterlowicz, poterlowicz-lab **Tutorial Author(s)**: [Khaled Jum'ah](https://training.galaxyproject.org/training-material/hall-of-fame/khaled196/), [Katarzyna Kamieniecka](https://training.galaxyproject.org/training-material/hall-of-fame/kkamieniecka/), [Wolfgang Maier](https://training.galaxyproject.org/training-material/hall-of-fame/wm75/), [David Salgado](https://training.galaxyproject.org/training-material/hall-of-fame/d-salgado/), [Krzysztof Poterlowicz](https://training.galaxyproject.org/training-material/hall-of-fame/poterlowicz-lab/) **Tutorial Contributor(s)**: [Verena Moosmann](https://training.galaxyproject.org/training-material/hall-of-fame/VerenaMoo/), [Saskia Hiltemann](https://training.galaxyproject.org/training-material/hall-of-fame/shiltemann/), [Helena Rasche](https://training.galaxyproject.org/training-material/hall-of-fame/hexylena/), [Khaled Jum'ah](https://training.galaxyproject.org/training-material/hall-of-fame/khaled196/), [Simon Gladman](https://training.galaxyproject.org/training-material/hall-of-fame/slugger70/), [Björn Grüning](https://training.galaxyproject.org/training-material/hall-of-fame/bgruening/), [Katarzyna Kamieniecka](https://training.galaxyproject.org/training-material/hall-of-fame/kkamieniecka/), [Wolfgang Maier](https://training.galaxyproject.org/training-material/hall-of-fame/wm75/) [](https://training.galaxyproject.org/training-material/)