From 9794c36b734f62484b750c8f450eaf7ccc0d7ff2 Mon Sep 17 00:00:00 2001
From: llangit-broad <llangit@broadinstitute.org>
Date: Wed, 16 Dec 2020 19:52:05 -0600
Subject: [PATCH 1/2] Added miniwdl dev env diagram

---
 README.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 717ceaf42..fbbace795 100644
--- a/README.md
+++ b/README.md
@@ -24,7 +24,9 @@ Workflows are continuously deployed to a [DNAnexus CI project](https://platform.
 
 ## Basic execution
 
-The easiest way to get started is on a single, Docker-capable machine (your laptop, shared workstation, or virtual machine) using [miniWDL](https://github.com/chanzuckerberg/miniwdl). MiniWDL can be installed either via `pip` or `conda` (via conda-forge). After confirming that it works (`miniwdl run_self_test`, you can use [miniwdl run](https://miniwdl.readthedocs.io/en/latest/getting_started.html) to invoke WDL workflows from this repository.
+<img src="https://github.com/openwdl/learn-wdl/blob/master/images/miniwdl-dev.png" width=600>
+
+The easiest way to get started is on a single, Python & Docker-capable machine (your laptop, shared workstation, or virtual machine) using [miniWDL](https://github.com/chanzuckerberg/miniwdl) as shown above. MiniWDL can be installed either via `pip` or `conda` (via conda-forge). After confirming that it works (`miniwdl run_self_test`, you can use [miniwdl run](https://miniwdl.readthedocs.io/en/latest/getting_started.html) to invoke WDL workflows from this repository.
 
 For example, to list the inputs for the assemble_refbased workflow:
 

From 8c16bbe8c20e06c7ad3276eb43306196a868c605 Mon Sep 17 00:00:00 2001
From: llangit-broad <llangit@broadinstitute.org>
Date: Thu, 17 Dec 2020 11:08:35 -0600
Subject: [PATCH 2/2] added miniwdl dev env diagram link

updated to URL per your request
---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index fbbace795..273eeb465 100644
--- a/README.md
+++ b/README.md
@@ -24,7 +24,7 @@ Workflows are continuously deployed to a [DNAnexus CI project](https://platform.
 
 ## Basic execution
 
-<img src="https://github.com/openwdl/learn-wdl/blob/master/images/miniwdl-dev.png" width=600>
+<img src="https://raw.githubusercontent.com/openwdl/learn-wdl/master/images/miniwdl-dev.png" width=600>
 
 The easiest way to get started is on a single, Python & Docker-capable machine (your laptop, shared workstation, or virtual machine) using [miniWDL](https://github.com/chanzuckerberg/miniwdl) as shown above. MiniWDL can be installed either via `pip` or `conda` (via conda-forge). After confirming that it works (`miniwdl run_self_test`, you can use [miniwdl run](https://miniwdl.readthedocs.io/en/latest/getting_started.html) to invoke WDL workflows from this repository.