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# ultraheatmap

ultraheatmap facilitates the production of [deepTools](https://github.com/deeptools/deepTools) heatmaps. The heatmaps typically show signal at genomic regions, which can be appended by orthogonal data, like associated gene expression. ultraheatmap facilitates adding orthogonal data to a deepTools matrix and allows to cluster a genomic heatmap by selected samples in just one single command-line call.

## Getting Started

These instructions will get you a copy of ultraheatmap up and running on your local machine.

### Prerequisites

The Prerequisites can be found in requirements.yaml

### Installation

First, get the source code:

git clone https://github.com/maxplanck-ie/ultraheatmap.git

Afterwards, create a new conda environment with all the Prerequisites by running the following command line:

conda env create -f requirements.yaml

Then activate the environment:

source activate ultraheatmap

To install the program in this environment:

python setup.py install

from the ultraheatmap directory. Now, you already have the program installed and can access each of the modules by calling them. Try

$ ultraheatmap -h ,

$ computeOrderedMatrix -h

or

$ AddFeatureToMatrix -h

To terminate the environment run:

source deactivate

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