Skip to main content
Project generated with PyScaffold

pets

Patient Exploration Tools Suite (PETS)

The Patient Exploration Tools Suite (PETS) is a suite of tools programmed in Python for the analysis of phenotypic and genotypic data from patients with genetic diseases. It is structured into three different functionalities:

  • Cohort Analyzer: a tool for evaluating the quality of data in patient cohorts or disease groups. It uses phenotypic information encoded with the Human Phenotype Ontology and calculates semantic similarity of phenotypes with configurable methods (such as Lin and Resnik). Patients or diseases are then clustered hierarchically. Results are presented in HTML files for easy interpretation.

  • Evidence Profiler: a tool for prioritizing genomic variants associated with those characterized in patient cohorts. It leverages data from sources like the MONARCH Initiative, which includes information on genetic diseases, associated phenotypes, and characterized variants to perform this prioritization.

  • Implementation of PhenoPackets: for the standardization of phenotypic and genotypic information of the patients or diseases analyzed, enhancing the accuracy and interoperability of variant prioritization.

PETS also includes auxiliary scripts for file manipulation, so that the input information is transformed into a single type with which the rest of the tools will work. The library also includes example files to work on.

Please, cite us as: Rojano E., Cordoba-Caballero J., Moreno-Jabato F., Gallego D., Serrano M., Perez B., Pares-Aguilar A., Perkins JR., Ranea JAG., Seoane-Zonjic P. Evaluating, Filtering and Clustering Genetic Disease Cohorts Based on Human Phenotype Ontology Data with Cohort Analyzer. J. Pers. Med. 2021, 11(8), 730; https://doi.org/10.3390/jpm11080730.

Release files for py-pets 1.3.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for py-pets 1.3.6
File Size Uploaded
py_pets-1.3.6.tar.gz 97.8 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for py-pets 1.3.6
File Interpreter ABI Platform
py_pets-1.3.6-py3-none-any.whl Python 3 none any Details

Total release size: 138.8 MB

Release files / py_pets-1.3.6.tar.gz

Download URL py_pets-1.3.6.tar.gz
Size 97.8 MB
Tags Source
SHA-256 checksum
How to use checksums
22edc17c1ea9daa14ba6b1761369e5fe3dca8ce011a9990cf04c6cbf5f5794cf
BLAKE2b-256 checksum
How to use checksums
a61b186cb6e0c91b8323d035b6e684dc3c2e959cb4909ae237139fc990a01230
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.3

Release files / py_pets-1.3.6-py3-none-any.whl

Download URL py_pets-1.3.6-py3-none-any.whl
Size 41.1 MB
Tags Python 3
SHA-256 checksum
How to use checksums
c5aa5021e17266d282c7248c10a22ae75db1d150a4a667b509bc83110dfbe542
BLAKE2b-256 checksum
How to use checksums
d49f1b64b8234a39ec9e74845995829df1405cd53ff361de37d98a33ad577925
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.3

Release history Release notifications | RSS feed

This release

1.3.6 This release

2 release files

1.3.5

1 release file

1.3.1

2 release files

1.3.0

2 release files

1.2.0

2 release files

1.0.3

2 release files

1.0.2

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page