HIV Resistance Interpretation & Scoring Engine
Project description
HyRISE - HIV Resistance Interpretation & Scoring Engine
A tool for HIV drug resistance analysis and visualization developed by the National Microbiology Laboratory, Public Health Agency of Canada
Overview
HyRISE (HIV Resistance Interpretation & Scoring Engine) is a command-line tool for HIV drug resistance interpretation and reporting.
It supports two primary workflows:
process: convert Sierra JSON results into MultiQC custom content (*_mqc.json,*_mqc.html), with built-in report generation support.sierra: run SierraLocal on FASTA input and optionally chain directly intoprocess.
The CLI is deterministic by default (no implicit interactive mode), with optional guided mode via --interactive.
Installation
PyPI
pip install hyrise
From Source
git clone https://github.com/phac-nml/HyRISE
cd HyRISE
pip install -e .
Conda Environment
conda create -n hyrise python=3.11
conda activate hyrise
pip install hyrise
Quickstart
Use de-identified fixtures from example_data/public/.
1) Process a Sierra JSON file
hyrise process -i example_data/public/DEMO_IN_NGS_results.json --out out
2) Process IN + PRRT together
hyrise process \
example_data/public/DEMO_IN_NGS_results.json \
example_data/public/DEMO_PRRT_NGS_results.json \
--out out
3) FASTA to Sierra JSON, then process
hyrise sierra example_data/public/DEMO_IN_NGS.fasta --process --process-dir out
Process Report Flags
--report(-r): generate report configuration assets.--run-multiqc: run MultiQC and generate the final report.--run-multiqcautomatically enables--report.
Example (full report generation):
hyrise process -i example_data/public/DEMO_IN_NGS_results.json --out out --run-multiqc
Process Command Options
hyrise process supports the following inputs and flags:
-i, --input: single Sierra JSON input file.- positional
inputs: one or more Sierra JSON input files. -o, --output-dir, --output_dir, --out: output directory (required).-s, --sample_name: override sample name in outputs/report.-r, --report: generate report configuration assets.--run-multiqc: run MultiQC and generate final report (--reportis implied).--guide: include interpretation guide content.--sample-info: include sample information section.-e, --email: contact email for report header.-l, --logo: custom logo path (PNG/SVG).--container: force container execution.--no-container: force native execution.--container-path: explicit.sifpath.--container-runtime {apptainer,singularity}: choose runtime explicitly.--config: custom HyRISE TOML config path.-I, --interactive: guided interactive prompt mode.
Command Summary
hyrise process: process Sierra JSON into report-ready outputs.hyrise sierra: run SierraLocal on FASTA input.hyrise container: pull/build/extract container assets.hyrise resources: update/list HIVdb resource files.hyrise check-deps: show native/container dependency status.
Help:
hyrise --help
python -m hyrise --help
hyrise process --help
hyrise sierra --help
hyrise container --help
hyrise resources --help
hyrise check-deps --help
Python API
HyRISE is CLI-first. For Python usage, keep imports explicit:
from hyrise.core.processor import process_files
Stable top-level API is intentionally minimal:
import hyrise
print(hyrise.__version__)
Inputs and Outputs
Accepted Inputs
process: one or more Sierra JSON filessierra: one or more FASTA files
Outputs
*_mqc.json*_mqc.html- MultiQC report output when
--run-multiqcis enabled (--run-multiqcimplies--report)
Container Workflows
Recommended on HPC: pull prebuilt image
hyrise container --pull --output hyrise.sif --image ghcr.io/phac-nml/hyrise:latest
hyrise process -i example_data/public/DEMO_IN_NGS_results.json --out out --container --container-path ./hyrise.sif
Build Apptainer/Singularity image locally from pip-installed assets
hyrise container --extract-def container_build
apptainer build hyrise.sif container_build/hyrise.def
# or: singularity build hyrise.sif container_build/hyrise.def
Build Docker image from pip-installed assets
hyrise container --extract-dockerfile container_build
docker build -f container_build/Dockerfile -t hyrise:local container_build
docker run --rm -v "$PWD:/data" hyrise:local --help
Build Docker image from repository source
docker build -f src/hyrise/Dockerfile -t hyrise:local .
Private Registry Note
If the repository is private but the package is published on PyPI, pip install hyrise still works without repository access.
Container pull depends on registry access:
- public registry image: no extra credentials required
- private registry image: users must authenticate
- offline or restricted environments: provide a local
.sifand use--container-path
Interactive Mode
Interactive mode is explicit and optional:
hyrise --interactive
hyrise process --interactive
hyrise sierra --interactive
hyrise container --interactive
hyrise check-deps --interactive
Configuration
Configuration precedence:
- CLI flags
- config file
- optional environment overrides
- built-in defaults
Default config path:
~/.config/hyrise/config.toml
Example:
[container]
path = "/path/to/hyrise.sif"
runtime = "apptainer"
search_paths = ["/shared/containers/hyrise.sif"]
[resources]
dir = "/path/to/hyrise/resources"
Resource Updates and Offline Behavior
- Normal analysis runs do not download resources.
- Downloads occur only when explicitly requested:
hyrise resources --update-hivdbhyrise resources --update-apobechyrise resources --update-all
- After resource update,
hyrise sierraautomatically prefers the newest downloadedHIVDB_*.xmlwhen default--xmlis used.
hyrise resources --list
hyrise resources --update-hivdb
Troubleshooting
Missing sierralocal
- Install natively:
pip install sierralocal post-align - Or use container mode:
hyrise sierra <input.fasta> --container --container-path /path/to/hyrise.sif - For HPC:
apptainer pull hyrise.sif docker://ghcr.io/phac-nml/hyrise:latest
Missing multiqc
multiqc is installed with hyrise by default. If it is missing, reinstall HyRISE in a clean environment:
pip install --upgrade --force-reinstall hyrise
Container runtime not found
Install Apptainer/Singularity, or pass an explicit runtime with --container-runtime.
Compatibility
- Python: 3.9, 3.10, 3.11, 3.12
- Container runtimes: Apptainer and Singularity
- Entry points:
hyriseandpython -m hyrise
Citing HyRISE
If you use HyRISE in your research, please cite it as follows:
Osahan, G., Ji, H., et al. (2026). HyRISE: HIV Resistance Interpretation & Scoring Engine — A pipeline for HIV drug resistance analysis and visualization. National Microbiology Laboratory, Public Health Agency of Canada. https://github.com/phac-nml/hyrise
For BibTeX:
@software{hyrise_2026,
author = {Osahan, Gurasis and Ji, Hezhao},
title = {HyRISE: HIV Resistance Interpretation \& Scoring Engine — A pipeline for HIV drug resistance analysis and visualization},
year = {2026},
publisher = {Public Health Agency of Canada},
version = {0.2.1},
url = {https://github.com/phac-nml/hyrise},
organization = {National Microbiology Laboratory, Public Health Agency of Canada},
}
License
HyRISE is distributed under the GNU General Public License v3.0. Refer to the GNU GPL v3.0 for the full terms and conditions.
Support and Contact
- Issue Tracking: Report issues and feature requests on your project tracker
- Email Support: Gurasis Osahan
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