Metadata-Version: 2.1
Name: chronumental
Version: 0.0.32
Summary: Large timetrees
Home-page: https://github.com/theosanderson/chronumental
Author: Theo Sanderson
Author-email: theo@theo.io
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/theosanderson/chronumental/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown

## Chronumental
[**Chron**&#8203;ologies from mon&#8203;**umental** phylogenetic trees]

Chronumental is a tool for creating a "time-tree" (where distance on the tree represents time) from a phylogenetic distance-tree (where distance on the tree reflects a number of genetic substitutions).

What sets chronumental apart from most other tools is that it scales to extremely large trees, which can contain millions of nodes. Chronumental uses JAX, which means it can optimise the tree rapidly if you have a GPU available, and also performs well on a CPU.

Chronumental is in an early stage of development and has not been benchmarked or subject to peer-review.

### Installation

#### Method 1: Using pipx (recommended)
```
pip install --local pipx
pipx install  chronumental
```

#### Method 2: In your python environment
```
pip install chronumental
```

### Usage
This demo uses trees and metadata collated by the [UShER](https://github.com/yatisht/usher) [team](https://hgwdev.gi.ucsc.edu/~angie/UShER_SARS-CoV-2/).
```
wget https://hgwdev.gi.ucsc.edu/~angie/UShER_SARS-CoV-2/2021/10/06/public-2021-10-06.all.nwk.gz
wget https://hgwdev.gi.ucsc.edu/~angie/UShER_SARS-CoV-2/2021/10/06/public-2021-10-06.metadata.tsv.gz
chronumental --tree public-2021-10-06.all.nwk.gz --dates public-2021-10-06.metadata.tsv.gz
```

### Similar tools
[TreeTime](https://github.com/neherlab/treetime) is a much more advanced tool for inferring time trees. If you have a dataset of <10,000 rather than millions of nodes you are best off trying it.


