Skip to main content

AMDirT: AncientMetagenomeDir Toolkit

Project description

DOI PyPI version Documentation Status AMDirT-CI

AMDirT Logo

AMDirT: AncientMetagenomeDir Toolkit

AMDirT is a toolkit for interacting with the AncientMetagenomeDir metadata repository of ancient metagenomic samples and ancient microbial genomes.

This tool provides ways to explore and download sequencing data for ancient microbial and environmental (meta)genomes, automatically prepare input samplesheets for a range of bioinformatic processing pipelines, and to validate AncientMetagenomeDir submissions.

For documentation on using the tool, please see How Tos, Tutorials and/or Quick Reference.

Install

AMDirT has been tested on different Unix systems (macOS and Ubuntu) using Intel and AMD chips. If you suspect that AMDirT isn't working properly because you use a different hardware/OS, please open an issue on GitHub.

1. With pip

pip install amdirt

2. With conda

Installing AMDirT in a dedicated conda environment

conda create -n amdirt -c bioconda amdirt #install amdirt in a dedicated conda environment
conda activate amdirt # activate the conda environment
# use amdirt
conda deactivate amdirt # deactivate the conda environment

The latest development version, directly from GitHub

pip install --upgrade --force-reinstall git+https://github.com/SPAAM-community/AMDirT.git@dev

The latest development version, with local changes

  • Fork AMDirT on GitHub
  • Clone your fork git clone [your-AMDirT-fork]
  • Checkout the dev branch git switch dev
  • Create the conda environment conda env create -f environment.yml
  • Activate the environment conda activate amdirt
  • Install amdirt in development mode pip install -e .
    • In some cases you may need to force update streamlit with pip install --upgrade steamlit

To locally render documentation:

  • conda activate amdirt
  • Install additional requirements cd docs && pip install -r requirements.txt
  • Build the HTML make html
  • Open the build/html/README.html file in your browser

Cite

AMDirT has been published in F1000 with the following DOI: 10.12688/f1000research.134798.2.

You can cite AMDirT like so:

Borry M, Forsythe A, Andrades Valtueña A et al. Facilitating accessible, rapid, and appropriate processing of ancient metagenomic data with AMDirT. F1000Research 2024, 12:926

A bibtex file is also available here: amdirt.bib

More information

For more information, please see the AMDirT Documentation

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

AMDirT-1.6.3-py3-none-any.whl (40.9 kB view details)

Uploaded Python 3

File details

Details for the file AMDirT-1.6.3-py3-none-any.whl.

File metadata

  • Download URL: AMDirT-1.6.3-py3-none-any.whl
  • Upload date:
  • Size: 40.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.9

File hashes

Hashes for AMDirT-1.6.3-py3-none-any.whl
Algorithm Hash digest
SHA256 9a4ed6e6b5dc90436fabc38ddfce1f9cded82cf72a964ce40944df18e90b7368
MD5 d989ebe5684141b05a624744abf16425
BLAKE2b-256 c8ccdc8e020cef34f16ed5cbd4e3e9961ba3e562d9e2e9e44a4235e70ee57b12

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page