From 9ce173f27ebb6162c60302ecdbaf2bbe8c78ac22 Mon Sep 17 00:00:00 2001
From: larissasa <larissasa@mi.fu-berlin.de>
Date: Sun, 9 Apr 2023 09:29:14 +0000
Subject: [PATCH] Update README.md

---
 README.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index 0774458..586d45f 100644
--- a/README.md
+++ b/README.md
@@ -69,7 +69,7 @@ This workflow is designed to work on Linux-based operating systems.  HPC Cluster
 To clone the repository, use the following command:
 
 ```
-git clone https://git.imp.fu-berlin.de/begendiv/radseq-pre-processing-pipeline.git
+git clone https://git.imp.fu-berlin.de/begendiv/radseq-preprocessing-pipeline.git
 ```
 
 ---
@@ -98,7 +98,7 @@ If  `conda command not found` please close and re-open your terminal for conda i
 ---
 <div id="creating-our-snakemake-conda-environment"></div>
 
-## Creating our GEP (Snakemake) Conda environment
+## Creating our RADseq preprocessing (Snakemake) Conda environment
 
 The pipeline requires the following software to run:
 
@@ -108,11 +108,11 @@ The pipeline requires the following software to run:
 - mamba = `1.4.1`
 - pandas = `1.4.2`
 
-The easiest method to install this software stack is to create a GEP conda environment with the provided `snakemakeEnvironment.yaml` (see ***Note***)
+The easiest method to install this software stack is to create a RADseq preprocessing conda environment with the provided `snakemakeEnvironment.yaml` (see ***Note***)
 
 
 ```
-conda env create -f /<your_path_to>/radseq-pre-processing-pipeline/setup/snakemakeEnvironment.yaml
+conda env create -f /<your_path_to>/radseq-preprocessing-pipeline/setup/snakemakeEnvironment.yaml
 
 conda activate radPreprocessing
 
@@ -150,7 +150,7 @@ These are:
 ## Running the workflow
 
 
-From within the main workflow directory (`radseq-pre-processing-pipeline`) where the `Snakefile` is located (make sure your snakemake environment is activated), run with:
+From within the main workflow directory (`radseq-preprocessing-pipeline`) where the `Snakefile` is located (make sure your snakemake environment is activated), run with:
 
 ```
 snakemake --cores # --use-conda
-- 
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