From c0ae2b1a609837db8c6d0393666e6de929064c6a Mon Sep 17 00:00:00 2001
From: schmiral <ralf.schmidt@unibas.ch>
Date: Mon, 25 Sep 2017 14:32:12 +0200
Subject: [PATCH] small change of README

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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
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 ## Requirements
 
-To this pipeline, your computer requires **40 GB of available memory (RAM)** to process larger genomes (e.g. human or mouse). Moreover, snakemake was used to facilitate the automated execution of all analysis steps. The easiest way to make use of the pipeline is to set up a python3 virtual environment and run the pipeline is this environment. In the following section, instructions on how to install the virtual environment for the analysis are given.
+To run this pipeline, your computer requires **40 GB of available memory (RAM)** to process larger genomes (e.g. human or mouse). Moreover, snakemake was used to facilitate the automated execution of all analysis steps. The easiest way to make use of the pipeline is to set up a python3 virtual environment and run the pipeline is this environment. In the following section, instructions on how to install the virtual environment for the analysis are given.
 
 ### snakemake
 Snakemake is a workflow management system that helps to create and execute data processing pipelines. It requires python3 and can be most easily installed via the bioconda package of the python anaconda distribution. You're setup right after the following steps:
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