From df3a3b490768942e5349d49787a34ddaf31232f6 Mon Sep 17 00:00:00 2001
From: Rachel  LEGENDRE <rachel.legendre@pasteur.fr>
Date: Tue, 1 Feb 2022 16:53:18 +0100
Subject: [PATCH] Update README.md

---
 README.md | 11 ++++-------
 1 file changed, 4 insertions(+), 7 deletions(-)

diff --git a/README.md b/README.md
index e6259e4..4ee0240 100644
--- a/README.md
+++ b/README.md
@@ -33,7 +33,7 @@ A tutorial to create a conda environment with all dependencies is available here
     
 Download the singularity container:
  
-` singularity pull --arch amd64 library://rlegendre/default/chipflow:latest ` 
+` singularity pull --arch amd64 --name chipflow.img  library://rlegendre/default/chipflow:latest ` 
 
 ## Manual installation 
 
@@ -78,8 +78,8 @@ module load pysam
 * Download singularity container:
 
 ```
-singularity pull --arch amd64 library://rlegendre/default/chipflow:latest
-mv chipflow_latest.sif chipflow/chipflow.img
+cd chipflow
+singularity pull --arch amd64 --name chipflow.img  library://rlegendre/default/chipflow:latest
 ```
 
 Then, you can configure the workflow.
@@ -96,10 +96,7 @@ Then, you can configure the workflow.
 
 In any case, if you use this workflow in a paper, don't forget to give credits to the authors by citing the URL of this repository and, its DOI (see [above](https://gitlab.pasteur.fr/hub/chipflow#how-to-cite-chipflow-))
 
-If you are using Singularity, you need to copy the Singularity image in the cloned ChIPflow directory and rename it as "chipflow.img":
-
-`mv chipflow_latest.sif chipflow/chipflow.img`
-
+If you are using Singularity, you need to copy the Singularity image in the cloned ChIPflow directory.
 
 *  Step 2: Configure workflow
 
-- 
GitLab