Skip to main content

cli tool to identify networks of individuals who share IBD segments overlapping loci of interest

Project description

Documentation Status Code style: black PyPI version

DRIVE:

This repository contains the source code for the tool DRIVE (Distant Relatedness for Identification and Variant Evaluation) is a novel approach to IBD-based genotype inference used to identify shared chromosomal segments in dense genetic arrays. DRIVE implements a random walk algorithm that identifies clusters of individuals who pairwise share an IBD segment overlapping a locus of interest. This tool was developed in python by the Below Lab at Vanderbilt University. The documentation for how to use this tool can be found here DRIVE documentation

Installing DRIVE:

DRIVE is available on PYPI and can easily be installed using the following command:

pip install drive-ibd

It is recommended to install DRIVE within a virtual environment such as venv, or conda. More information about this process can be found within the documentation.

If the user wishes to develop DRIVE or install the program from source then they can clone the repository. This process is described under the section called "Github Installation" in the documentation.

Reporting issues:

If you wish to report a bug or propose a feature you can find templates under the .github/ISSUE_TEMPLATE directory.

Project details


Download files

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

Source Distribution

drive_ibd-2.7.6.tar.gz (40.6 kB view details)

Uploaded Source

Built Distribution

drive_ibd-2.7.6-py3-none-any.whl (43.9 kB view details)

Uploaded Python 3

File details

Details for the file drive_ibd-2.7.6.tar.gz.

File metadata

  • Download URL: drive_ibd-2.7.6.tar.gz
  • Upload date:
  • Size: 40.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.2 Linux/5.15.0-91-generic

File hashes

Hashes for drive_ibd-2.7.6.tar.gz
Algorithm Hash digest
SHA256 e5edf39c5fc25bb6841fcf4332b09efeb1c91ae9381eac24488ad4031836a829
MD5 89c637961ab17ed601e36956780af104
BLAKE2b-256 8b0ad2a853b12331d80427971191f6baeee8d2ceab74f6d3b2eed910c38632da

See more details on using hashes here.

File details

Details for the file drive_ibd-2.7.6-py3-none-any.whl.

File metadata

  • Download URL: drive_ibd-2.7.6-py3-none-any.whl
  • Upload date:
  • Size: 43.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.2 Linux/5.15.0-91-generic

File hashes

Hashes for drive_ibd-2.7.6-py3-none-any.whl
Algorithm Hash digest
SHA256 94dc32d06a2a711d18a9f21a3a128ec3b012d723ef7a8ec78b37e2d18d2a94d8
MD5 959d0eab59f39049e947b0dcc77f86b4
BLAKE2b-256 2aae4d641fa280022bdf4a6650202b16f651e45dcec612329fdbf29930fc6eea

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