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-1.1.1.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-1.1.1-py3-none-any.whl (57.3 kB view details)

Uploaded Python 3

File details

Details for the file itrails-1.1.1.tar.gz.

File metadata

  • Download URL: itrails-1.1.1.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-1.1.1.tar.gz
Algorithm Hash digest
SHA256 3f0c2cc32870cbb9bde3ec801dc45f7a62ec590acda721b6be1fc6f9c59c471c
MD5 be4a485e3ff94c797bff736e597a00de
BLAKE2b-256 87a336c6da9c5d8f9d66a319efdb6a0981ea34d2316df4dfd44c6e593a579aea

See more details on using hashes here.

File details

Details for the file itrails-1.1.1-py3-none-any.whl.

File metadata

  • Download URL: itrails-1.1.1-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-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 6d08687ae1651416ee822423418b13d3f6a7949a889c1d17cfa4b609c338d99e
MD5 f5e2da7a000767f32d2bc33e59ee7703
BLAKE2b-256 e3a33c2f6a0ff7e962b7140c5cc2348514dd9991a73359abc71d71a508d17d0d

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