Metadata-Version: 2.4
Name: h1d
Version: 0.2.12
Summary: HiC1Dmetrics pip version
Home-page: https://github.com/wangjk321/HiC1Dmetrics
Author: wangjiankng
Author-email: wangjk321@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: multiprocess
Requires-Dist: fithic==2.0.7
Requires-Dist: statsmodels
Requires-Dist: cooler==0.9.*
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: summary

# HiC1Dmetrics
This repository contain code and basic tutorial for "HiC1Dmetrics"

![figure1](https://github.com/wangjk321/HiC1Dmetrics/blob/master/IMG/Figure1.png)


# Important Update

(Feb 2024) Now h1d v0.2.8 support the user-difined juicertools. You can use your own version of juicer tool by the `--juicertool` parameter

# Installation

HiC1Dmetrics was based on `python3` and released on [PyPI](https://pypi.org/project/h1d/), it could be installed by

```python
pip install h1d
```
After installation, try:
```
$ h1d -V
h1d version 0.1.0
```

# Documents

For detailed usage, please refer to [h1d Documents](https://h1d.readthedocs.io/en/latest/)

# Web application

Please click [hic1d webapp](http://hic1d.herokuapp.com)

# Citation

Wang J, Nakato R. HiC1Dmetrics: framework to extract various one-dimensional features from chromosome structure data. *Briefings in Bioinformatics*, bbab509,2021.
