Skip to main content

No project description provided

Project description

PhEval - Phenotypic Inference Evaluation Framework

PyPI Build Status License Python Version Issues

Overview

The absence of standardised benchmarks and data standardisation for Variant and Gene Prioritisation Algorithms (VGPAs) presents a significant challenge in the field of genomic research. To address this, we developed PhEval, a novel framework designed to streamline the evaluation of VGPAs that incorporate phenotypic data. PhEval offers several key benefits:

  • Automated Processes: Reduces manual effort by automating various evaluation tasks, thus enhancing efficiency.
  • Standardisation: Ensures consistency and comparability in evaluation methodologies, leading to more reliable and standardised assessments.
  • Reproducibility: Facilitates reproducibility in research by providing a standardised platform, allowing for consistent validation of algorithms.
  • Comprehensive Benchmarking: Enables thorough benchmarking of algorithms, providing well-founded comparisons and deeper insights into their performance.

PhEval is a valuable tool for researchers looking to improve the accuracy and reliability of VGPA evaluations through a structured and standardised approach.

For more information please see the full documentation.

Download and Installation

  1. Ensure you have Python 3.10 or greater installed.
  2. Install with pip:
pip install pheval
  1. See list of all PhEval utility commands:
pheval-utils --help

Usage

The PhEval CLI offers a variety of commands categorised into two main types: Runner Implementations and Utility Commands. Below is an overview of each category, detailing how they can be utilised to perform various tasks within PhEval.

Runner Implementations

The primary command used within PhEval is pheval run. This command is responsible for executing concrete VGPA runner implementations, that we sometimes term as plugins. By using pheval run, users can leverage these runner implementations to: execute the VGPA on a set of test corpora, produce tool-specific result outputs, and post-process tool-specific outputs to PhEval standardised TSV outputs.

Some concrete PhEval runner implementations include the Exomiser runner and the Phen2Gene runner. The full list of currently implemented runners can be found here

Please read the documentation for a step-by-step for creating your own PhEval plugin.

Utility Commands

In addition to the main run command, PhEval provides a set of utility commands designed to enhance the overall functionality of the CLI. These commands can be used to set up and configure experiments, streamline data preparation, and benchmark the performance of various VGPA runner implementations. By utilising these utilities, users can optimise their experimental workflows, ensure reproducibility, and compare the efficiency and accuracy of different approaches. The utility commands offer a range of options that facilitate the customisation and fine-tuning to suit diverse research objectives.

Example Usage

To add noise to an existing corpus of phenopackets, this could be used to assess the robustness of VGPAs when less relevant or unreliable phenotype data is introduced:

pheval-utils scramble-phenopackets --phenopacket-dir /phenopackets --scramble-factor 0.5 --output-dir /scrambled_phenopackets_0.5

To update the gene symbols and identifiers to a specific namespace:

pheval-utils update-phenopackets --phenopacket-dir /phenopackets --output-dir /updated_phenopackets --gene-identifier ensembl_id

To prepare VCF files for a corpus of phenopackets, spiking in the known causative variants:

pheval-utils create-spiked-vcfs --phenopacket-dir /phenopackets --hg19-template-vcf /template_hg19.vcf --hg38-template-vcf /template_hg38.vcf --output-dir /vcf

Alternatively, you can wrap all corpus preparatory commands into a single step. Specifying --variant-analysis/--gene-analysis/--disease-analysis will check the phenopackets for complete records documenting the known entities. If template vcf(s) are provided this will spike VCFs with the known variant for the corpus. If a --gene-identifier is specified then the corpus of phenopackets is updated.

pheval-utils prepare-corpus \
    --phenopacket-dir /phenopackets \
    --variant-analysis \
    --gene-analysis \
    --gene-identifier ensembl_id \
    --hg19-template-vcf /template_hg19.vcf \
    --hg38-template-vcf /template_hg38.vcf \
    --output-dir /vcf

See the documentation for instructions on benchmarking and evaluating the performance of various VGPAs.

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

pheval-0.6.6.tar.gz (5.5 MB view details)

Uploaded Source

Built Distribution

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

pheval-0.6.6-py3-none-any.whl (5.6 MB view details)

Uploaded Python 3

File details

Details for the file pheval-0.6.6.tar.gz.

File metadata

  • Download URL: pheval-0.6.6.tar.gz
  • Upload date:
  • Size: 5.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.23

File hashes

Hashes for pheval-0.6.6.tar.gz
Algorithm Hash digest
SHA256 052311c027ff833844533914c61497ada2ec38f74c15d5d177f91d080904e4b1
MD5 e83fae60165ffbee35548cd3822f5f83
BLAKE2b-256 9f789e9813dc52ee65e297e2cd5a95aeaff85c8e7524921288713dca8b58fc89

See more details on using hashes here.

File details

Details for the file pheval-0.6.6-py3-none-any.whl.

File metadata

  • Download URL: pheval-0.6.6-py3-none-any.whl
  • Upload date:
  • Size: 5.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.23

File hashes

Hashes for pheval-0.6.6-py3-none-any.whl
Algorithm Hash digest
SHA256 32631773a2fb04a9ae86df8bebcd61cd7f89cf31c5f1a2724a964d3b8119d5d8
MD5 1d452348fb2add8d28c249b14fcfff99
BLAKE2b-256 28e87807137b2c3bea2e39520e01979a30f869b7750d64837f573b704c56b070

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