Damage parameter estimation for ancient DNA
Project description
PyDamage
Pydamage, is a Python software to automate the process of contig damage identification and estimation. After modelling the ancient DNA damage using the C to T transitions, Pydamage uses a likelihood ratio test to discriminate between truly ancient, and modern contigs originating from sample contamination.
Installation
With conda (recommended)
conda install -c conda-forge -c bioconda -c maxibor pydamage
With pip
pip install pydamage
Install from source to use the development version
Using pip
pip install git+ssh://git@github.com/maxibor/pydamage.git@dev
By cloning in a dedicated conda environment
git clone git@github.com:maxibor/pydamage.git
cd pydamage
git checkout dev
conda env create -f environment.yml
conda activate pydamage
pip install -e .
Quick start
pydamage aligned.bam
CLI help
Command line interface help message
pydamage --help
Documentation
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pydamage-0.50b0.tar.gz
(13.9 kB
view details)
Built Distribution
pydamage-0.50b0-py3-none-any.whl
(14.7 MB
view details)
File details
Details for the file pydamage-0.50b0.tar.gz
.
File metadata
- Download URL: pydamage-0.50b0.tar.gz
- Upload date:
- Size: 13.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.8.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6ddfe2950973fb83471895f58f688c139f1d9fb942ac58cb50d36281fed6681b |
|
MD5 | 6eafb051c14aaaeb10852587f182c307 |
|
BLAKE2b-256 | 2f3fac04c037faa6aa038befe111ed0ffd698c5d8f6c29ad6665cfb15f3510d8 |
Provenance
File details
Details for the file pydamage-0.50b0-py3-none-any.whl
.
File metadata
- Download URL: pydamage-0.50b0-py3-none-any.whl
- Upload date:
- Size: 14.7 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.52.0 CPython/3.8.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c389bd1e5865b81fa5f6d1eeaadf10f58bf8e08f8f7141249a7a5deb3ffe3074 |
|
MD5 | 3ad23a7a302191a51524b9451827722b |
|
BLAKE2b-256 | 7ae69e1e0947fee3b323ecc033880beb95ba1c163c0b94023a2c82d7489ca86a |