Public Health Alliance for Genomic Epidemiology (pha4ge)

Public Health Alliance for Genomic Epidemiology

pha4ge

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Public Health Alliance for Genomic Epidemiology's repositories

hAMRonization

Parse multiple Antimicrobial Resistance Analysis Reports into a common data structure

Language:PythonLicense:LGPL-3.0Stargazers:142Issues:19Issues:55

pipeline-resources

Bioinformatics Pipeline and Visualization resources

SARS-CoV-2-Contextual-Data-Specification

Collection template and associated materials for SARS-CoV-2 metadata

hAMRonization_workflow

Harmonization of AMR predictor tool outputs

pha4ge.github.io

Static website for the PH4AGE alliance

primer-schemes

Tiling PCR primer scheme definitions

contextual_data_QC_tags

Standardized attributes for labelling sequence datasets with known quality control issues

Language:PythonLicense:MITStargazers:8Issues:6Issues:4

minimal-pathogen-agnostic-contextual-data-specification

An international minimal metadata standard for public health and One Health genomic surveillance.

License:MITStargazers:5Issues:5Issues:0

Wastewater_Contextual_Data_Specification

A data specification for harmonizing Wastewater pathogen genomics contextual data. The specification provides standardized (ontology-based) fields and terms which are implemented via metadata template(s), supported by field and reference guides as well as different curation and new term request SOPs.

training-resources

Training and workforce development resources

License:Apache-2.0Stargazers:3Issues:19Issues:0
Language:PythonLicense:MITStargazers:1Issues:9Issues:1

infrastructure-resources

Infrastructure resources

License:Apache-2.0Stargazers:1Issues:18Issues:0

primaschema

Infrastructure for tiled amplicon PCR primer scheme definitions

Language:PythonLicense:MITStargazers:1Issues:0Issues:46

SARS-CoV-2-Data-Spec-JSON

PHA4GE's SARS-CoV-2 Data Specification Processing Tool

HPAI_Contextual_Data_Specification

This data specification harmonizes contextual data to support H5N1 monitoring with PHA4GE. It provides standardized, ontology-based fields and terms for comprehensive surveillance. Users can implement it via their preferred tools, including DataHarmonizer. Field and reference guides, along with curation and new term request SOPs, support its use.

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