-# Introduction to this training
-
-The goal of this training is to walk the student through the
-development of a best-practices CWL workflow, starting from an
-existing shell script that performs a simple RNA-seq bioinformatics
-analysis. 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.
-
-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, 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)](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.
-