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[rnaseq-cwl-training.git] / 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.
 
@@ -18,8 +18,9 @@ have a basis for learning more.
 > 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}