Skip to main content

Tree reconstruction of ancestry using incomplete lineage sorting

Project description

iTRAILS

iTRAILS is a command-line tool designed to infer population parameters and reconstruct evolutionary histories from genomic data using a coalescent hidden Markov model framework. It offers functionalities such as parameter optimization, Viterbi decoding, and posterior decoding, all wrapped in a user-friendly interface.

Features

  • Parameter Optimization: Optimize critical population parameters from genomic alignment data.
  • Gene Tree Decoding: Infer gene tree topologies across the genome using Viterbi and posterior decoding.
  • Command Line Interface (CLI): Easily integrate iTRAILS into your bioinformatics workflows.
  • Config File Support: Customize parameters via YAML configuration files without altering the source code.

Installation

Install iTRAILS using PyPi:

pip install itrails

Or with conda:

conda install conda-forge::itrails

Quick Start

  1. Create a YAML configuration file defining fixed and optimized parameters.
  2. Run the parameter optimization with:
itrails-optimize config.yaml --input path/to/alignment.maf --output path/to/output/output_prefix
  1. Run the parameter optimization with: Use the generated Best Model configuration file to perform gene tree decoding with:
  • Viterbi Decoding: itrails-viterbi
  • Posterior Decoding: itrails-posterior

Documentation

For more detailed instructions, usage examples, and API references, please visit our full documentation at: Read The Docs - iTRAILS

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

itrails-1.1.0.tar.gz (52.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

itrails-1.1.0-py3-none-any.whl (57.3 kB view details)

Uploaded Python 3

File details

Details for the file itrails-1.1.0.tar.gz.

File metadata

  • Download URL: itrails-1.1.0.tar.gz
  • Upload date:
  • Size: 52.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for itrails-1.1.0.tar.gz
Algorithm Hash digest
SHA256 3f5762cdab250a66b6b800c1ab9674710620e63293296cd0f2092ca731fe16bc
MD5 c90e6f39d74a62cc85d225f8bacc3dec
BLAKE2b-256 dfd320b24623cefd9430a05b15194a3206bcafb876ec8cc7d8fad5c0304876e3

See more details on using hashes here.

File details

Details for the file itrails-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: itrails-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 57.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for itrails-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c25732346f56f2b8a723298e17b9ff1204a7e1edfe279299a75dc7e5095ccf1b
MD5 68eb012992ab6a4919787bb22d59a1b4
BLAKE2b-256 ab7980bcc273fc96bcd26955c01b14afd9752d1493552d15a8423e928dc5a967

See more details on using hashes here.

Supported by

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