diff --git a/README.md b/README.md index 092e00e2fac4dc8035062aecc62ec6f0d27cc20d..748c693be605ec52098c79825af1c408d92822e1 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,7 @@ cd path/to/workdir ## 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: