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---
-FIXME: home page introduction
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+This training will walk you through the development of a
+best-practices Common Workflow Language (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
>
-> FIXME
+> 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.
+>
{: .prereq}
+These lessons are based on [Introduction to RNA-seq using
+high-performance computing
+(HPC)](https://github.com/hbctraining/Intro-to-rnaseq-hpc-O2) 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.
+
{% include links.md %}
projects / rnaseq-cwl-training.git / blobdiff