## Dockerfile

In order to allow users to run this tools in an easy way we provide a Dockerfile that allows you to run this tool in any host with docker installed.

### Prerequisits
- Linux Machine
- Docker service installed
- git installed

### Running ABC with docker

1. *Clone Repo:* first you need to clone this repo.
```
git clone https://github.com/Hickerlab/msBayes.git
```
2. *Build Docker Image:* for build docker image you need to get into repo directory, then run the following command.
```
docker build -t msbayes:latest .
```
3. Run the first step of the procedure (for the example in the example folder it can't be run due missing .im files)

**Before running this steps you need get into examples directory**
```
docker run --rm -v /path/to/myworkspace:/workspace --name msbayes msbayes:latest convertIM.pl infile.list
```
**/path/to/myworkspace:** Path to your working directory where your have your files for work with msbayes (in this case exaples directory)

**infile.list:** Text plane list of your *.im files relative to your working directory

4. Run second step.

```
docker run --rm -v /path/to/myworkspace:/workspace --name msbayes msbayes:latest obsSumStats.pl -T obsSS.table batch.masterIn.fromIM > obsSS.txt
```

5. Run step three

```
docker run --rm -v /path/to/myworkspace:/workspace --name msbayes msbayes:latest msbayes.pl -c batch.masterIn.fromIM -s 7 -r 5000 -o priorfile
```
6. Run step four

```
docker run --rm -v /path/to/myworkspace:/workspace --name msbayes msbayes:latest acceptRej.pl -p outfig.pdf obsSS.txt priorfile > modeEstimatesOut.txt
```

7. Enjoy the results :)