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HIV Resistance Interpretation & Scoring Engine

Project description

HyRISE - HIV Resistance Interpretation & Scoring Engine

HyRISE Logo

A tool for HIV drug resistance analysis and visualization developed by the National Microbiology Laboratory, Public Health Agency of Canada

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Overview

HyRISE (HIV Resistance Interpretation & Scoring Engine) is a command-line tool for HIV drug resistance interpretation and reporting.

It supports two primary workflows:

  1. process: convert Sierra JSON results into MultiQC custom content (*_mqc.json, *_mqc.html), with built-in report generation support.
  2. sierra: run SierraLocal on FASTA input and optionally chain directly into process.

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-multiqc automatically 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 (--report is 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 .sif path.
  • --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 files
  • sierra: one or more FASTA files

Outputs

  • *_mqc.json
  • *_mqc.html
  • MultiQC report output when --run-multiqc is enabled (--run-multiqc implies --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 .sif and 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:

  1. CLI flags
  2. config file
  3. optional environment overrides
  4. 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-hivdb
    • hyrise resources --update-apobec
    • hyrise resources --update-all
  • After resource update, hyrise sierra automatically prefers the newest downloaded HIVDB_*.xml when default --xml is 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: hyrise and python -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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