cooler 0.10.4
Sparse binary format for genomic interaction matrices.
License: BSD-3-Clause
Requires Python: >=3.9
Keywords: Hi-C, bioinformatics, contact, format, genomics, hdf5, matrix, sparse

# Cooler

<a href="https://open2c.github.io/cooler"><img width="25%" src="https://github.com/open2c/cooler/raw/master/docs/cooler_logo.png" alt="Cooler"></a>

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        <td>Latest Release</td>
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                <img src="https://img.shields.io/pypi/v/cooler?color=blue&label=PyPI%20package" alt="latest release pypi">
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            <a href="https://bioconda.github.io/recipes/cooler/README.html">
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        <td>License</td>
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        <td>Docs Status</td>
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            <a href="http://cooler.readthedocs.org/en/latest/">
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        <td>Coverage</td>
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        <td>Downloads</td>
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        <td>Citation</td>
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            <a href="https://doi.org/10.1093/bioinformatics/btz540">
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        <td>Community</td>
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</table>

## A cool place to store your Hi-C

Cooler is a support library for a **sparse, compressed, binary** persistent storage [format](http://cooler.readthedocs.io/en/latest/schema.html), also called cooler, used to store genomic interaction data, such as Hi-C contact matrices.

The cooler file format is an implementation of a genomic matrix data model using [HDF5](https://en.wikipedia.org/wiki/Hierarchical_Data_Format) as the container format. The `cooler` package includes a suite of [command line tools](http://cooler.readthedocs.io/en/latest/cli.html) and a [Python API](http://cooler.readthedocs.io/en/latest/api.html) to facilitate creating, querying and manipulating cooler files.

To get started:

- [Install](#Installation) cooler
- Read the [documentation](http://cooler.readthedocs.org/en/stable/) and see the Jupyter Notebook [walkthrough](https://github.com/open2c/cooler-binder).
- _cool_ files from published Hi-C data sets are available [here](https://usgs2.osn.mghpcc.org/cooler01/index.html) or via s3 (bucket `s3://cooler01 --endpoint-url https://usgs2.osn.mghpcc.org --no-sign-request`).
- Many more multires (_mcool_) files are available on the [4DN data portal](https://data.4dnucleome.org/visualization/index).

### Installation

Install from PyPI using pip.
```sh
$ pip install cooler
```

If you are using `conda`, you can alternatively install `cooler` from the [bioconda](https://bioconda.github.io/index.html) channel.
```sh
$ conda install -c conda-forge -c bioconda cooler
```

### Citing

Abdennur, N., and Mirny, L.A. (2020). Cooler: scalable storage for Hi-C data and other genomically labeled arrays. _Bioinformatics_. doi: [10.1093/bioinformatics/btz540](https://doi.org/10.1093/bioinformatics/btz540).

```bibtex
@article{cooler2020,
    author = {Abdennur, Nezar and Mirny, Leonid A},
    title = "{Cooler: scalable storage for Hi-C data and other genomically labeled arrays}",
    journal={Bioinformatics},
    volume={36},
    number={1},
    pages={311--316},
    year={2020},
    doi = {10.1093/bioinformatics/btz540},
    url = {https://doi.org/10.1093/bioinformatics/btz540},
}
```

### Contributing

Interested in contributing to cooler? That's great! To get started, check out the [contributing guide](https://github.com/open2c/cooler/blob/master/CONTRIBUTING.md).


### Related projects

- See other Open2C tools to process Hi-C data ([pairtools](https://github.com/open2c/pairtools), [distiller](https://github.com/open2c/distiller-nf)) and analyze Hi-C data ([cooltools](https://github.com/open2c/cooltools))!
- Visualize your cooler data with [HiGlass](http://higlass.io)!
- Check out this list of [3D genomics tools and papers](https://github.com/mdozmorov/HiC_tools), most of which accept cooler files.

### Affiliations and Acknowledgements

* Cooler is an Affiliated Project of [NumFOCUS](https://www.numfocus.org/).
* Cooler development has received support from the NIH [4D Nucleome](https://www.4dnucleome.org/) Consortium.
* We are grateful for a storage allocation from NSF's [ACCESS Cyberinfrastucture](https://access-ci.org/) Open Storage Network to host example cooler data.