# HPD-Kit: a comprehensive toolkit for pathogen detection and analysis

**Authors:** Tengcheng Que, Wen Li, Zhining Zhang, Yunlin He, Kangming He, Hong Qiu, Juan Huang, Zhiwei Lu, Chunlan Jiang, Yongjian Huang, Hui Huang, Qiuyu Wu, Panyu Chen, Yanling Hu, Wenjian Liu

PMC · DOI: 10.3389/fcimb.2025.1580165 · Frontiers in Cellular and Infection Microbiology · 2025-05-02

## TL;DR

HPD-Kit is a user-friendly toolkit that simplifies pathogen detection from sequencing data, making it accessible for clinicians.

## Contribution

HPD-Kit introduces an integrated pathogen database and optimized pipeline with a web interface to reduce bioinformatics barriers.

## Key findings

- HPD-Kit maintains high detection accuracy even at low pathogen abundance in simulated data.
- Clinical dataset analysis showed superior pathogen identification compared to conventional methods.
- The web interface significantly improves usability without compromising performance.

## Abstract

Unbiased metagenomic sequencing (mNGS) is crucial for infectious disease diagnosis and epidemiological surveillance. However, its analysis requires specialized bioinformatics skills, creating barriers for clinicians. We developed HPD-Kit (Henbio Pathogen Detection Toolkit) with an integrated pathogen database to simplify pathogen detection and analysis for both human and animal pathogens.

HPD-Kit includes a specifically curated pathogen database and optimized bioinformatics pipeline. We evaluated its performance using simulated datasets at varying pathogen abundances and clinical samples. The toolkit provides both open-source software and a web interface for streamlined one-click analysis.

Validation with simulated data showed HPD-Kit maintains high detection accuracy even at low pathogen abundance. Clinical dataset analysis demonstrated superior pathogen identification compared to conventional methods. The web interface retained this performance while significantly improving usability.

HPD-Kit effectively addresses the bioinformatics barrier in mNGS analysis while maintaining high accuracy. Its dual open-source and web-based implementation facilitates clinical and public health applications, promoting wider adoption of mNGS technology in diagnostic settings.

## Full-text entities

- **Diseases:** infectious disease (MESH:D003141)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12081367/full.md

## References

60 references — full list in the complete paper: https://tomesphere.com/paper/PMC12081367/full.md

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Source: https://tomesphere.com/paper/PMC12081367