X-Git-Url: https://git.arvados.org/rnaseq-cwl-training.git/blobdiff_plain/3fbeb188954cdc09529323816e0cbb25ec1daa19..HEAD:/index.md

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 ---
 
 This training will walk you through the development of a
-best-practices CWL workflow.  At the conclusion of this training, you
+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.
 
-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.
-
 > ## Prerequisites
 >
 > This training assumes some basic familiarity with editing text files,
@@ -26,9 +18,18 @@ link.
 > 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, and machine learning.  We hope that you will
-> find this training useful regardless of your area of research.
+> 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 %}