From a825ef4615fbe519dd6d978bbd48f91281ea96c5 Mon Sep 17 00:00:00 2001 From: Peter Amstutz Date: Fri, 29 Jan 2021 17:12:11 -0500 Subject: [PATCH] Fix image link Arvados-DCO-1.1-Signed-off-by: Peter Amstutz --- _episodes/01-introduction.md | 4 ++-- index.md | 16 ++++++++-------- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/_episodes/01-introduction.md b/_episodes/01-introduction.md index fe005cc..84cb274 100644 --- a/_episodes/01-introduction.md +++ b/_episodes/01-introduction.md @@ -6,7 +6,7 @@ questions: - "What is CWL?" - "What is the goal of this training?" objectives: -- "Understand how the training will be motivated by an example analysis." +- "Gain a high level understanding of the example analysis." keypoints: - "Common Workflow Language is a standard for describing data analysis workflows" - "We will use an bioinformatics RNA-seq analysis as an example workflow, but does not require in-depth knowledge of biology." @@ -39,7 +39,7 @@ expression". The entire process looks like this: -![](/assets/img/RNAseqWorkflow.png){: height="400px"} +![](../assets/img/RNAseqWorkflow.png){: height="400px"} For this training, we are only concerned with the middle analytical steps (skipping adapter trimming). diff --git a/index.md b/index.md index 4eb5417..c6bd632 100644 --- a/index.md +++ b/index.md @@ -9,14 +9,6 @@ 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. -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, @@ -31,4 +23,12 @@ link. > {: .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 %} -- 2.30.2