This lesson has migrated to https://doc.arvados.org/rnaseq-cwl-training/
This training will walk you through the development of a best-practices CWL workflow. At the conclusion of this training, you should have a grasp of the essential components of a workflow, and have a basis for learning more.
Prerequisites
This training assumes some basic familiarity with editing text files, the Unix command line, and Unix shell scripts.
Specific knowledge of the biology of RNA-seq is not a prerequisite for these lessons. Although orignally developed to solve big data problems in genomics, CWL is not domain specific to bioinformatics, and is used in a number of other fields including medical imaging, astronomy, geospatial imaging, and machine learning. We hope that you will find this training useful regardless of your area of research.
These lessons are based on Introduction to RNA-seq using high-performance computing (HPC) lessons developed by members of the teaching team at the Harvard Chan Bioinformatics Core (HBC). The original training, which includes additional lectures about the biology of RNA-seq, can be found at that link.