diff README.md @ 30:30ab487171ab draft

planemo upload for repository https://github.com/igg-molecular-biology-lab/pipe-t.git commit 488b3c091e8bf80f741a3e46b929427f1658ba3a-dirty
author davidecangelosi
date Thu, 10 Oct 2019 04:24:43 -0400
parents 46cb147d53df
children
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--- a/README.md	Thu Jun 06 12:01:47 2019 -0400
+++ b/README.md	Thu Oct 10 04:24:43 2019 -0400
@@ -92,11 +92,17 @@
 
 Docker images are "read-only", all your changes inside one session will be lost after restart. This mode is useful to present Galaxy to your colleagues or to run workshops with it. To install Tool Shed repositories or to save your data you need to export the calculated data to the host computer.
 
-Run this command setting your local landing path (`/host/path/targetfolder/`):
+Run this command:
 ```
-docker run -d -p 8080:80 \
+    docker create -v /export \
+    --name pipe-t-store \
+    davidecangelosi/galaxy-pipe-t \
+    /bin/true
+```
+and then run:
+```
     docker run -d -p 21:21/tcp -p 443:443/tcp -p 80:80/tcp -p 8800:8800/tcp -p 9002:9002/tcp \
-    -v /host/path/targetfolder/:/export/ \
+    --volumes-from pipe-t-store \
     davidecangelosi/galaxy-pipe-t:latest
 ```
 
@@ -161,7 +167,7 @@
 
 ###  Example application  <a name="first-example" /> [[toc]](#toc)
 
-In this example, we will show you how to perform a simple analysis with PIPE-T on mCRC data. We have chosen the 53 metastatic colorectal cancer study that we presented in our manuscript. 
+In this example, we will show you how to perform a simple analysis with PIPE-T on mCRC data. We have chosen the 53 metastatic colorectal cancer study whose gene expression profile was available in the Gene Expression Omnibus with accession GSE52513. 
 
 
 The top rows relative to an example file of a hypothetical ListOfFile is reported in the table below. Note that file contains data about the type of the file, dates and any other relevant information about the experiment.