Skip to content

phac-nml/HyRISE

Repository files navigation

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

Build Status PyPI Version Coverage Python Versions Docker Support Apptainer Support PyPI Downloads License

Report Preview

HyRISE Report Preview

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

About

HIV Resistance Interpretation & Scoring Engine

Resources

License

Contributing

Stars

Watchers

Forks

Packages

No packages published