HVRLocator
HVRLocator identifies hypervariable regions in 16S rRNA amplicon sequencing data to determine sequenced variable regions and improve metadata accuracy for microbiome analyses.
Key Features:
- Hypervariable Region Identification: HVRLocator accurately identifies sequenced hypervariable regions from amplicon sequencing variants or public sequence read archives (SRA) by aligning to an E. coli full-length 16S rRNA gene reference.
- Metadata Enhancement: By determining the hypervariable region, HVRLocator improves metadata quality for downstream analyses and reuse in large-scale microbiome studies.
- Efficiency and Accuracy: The tool processes samples at an average rate of 0.147 per minute with confirmed 100% accuracy in predicting alignment positions and matching expected primer regions from the literature.
Scientific Applications:
- Data Curation: It streamlines curation by assigning the correct amplified region when metadata or literature are inconsistent or missing.
- Database Construction: It facilitates selection of appropriate and comparable sequences for constructing global bacterial databases, as demonstrated with V4 region amplicons from 16S rRNA sequencing.
- Error Identification: It identifies discrepancies in metadata labeling, such as sequences mislabelled as targeting the V4 region.
Methodology:
HVRLocator aligns query sequences to an E. coli full-length 16S rRNA reference and determines the spanning hypervariable region from the resulting alignments.
Topics
Details
- License:
- CC0-1.0
- Cost:
- Free of charge
- Tool Type:
- command-line tool, workflow
- Operating Systems:
- Linux
- Programming Languages:
- Python
- Added:
- 9/8/2025
- Last Updated:
- 9/8/2025
Operations
Publications
Arboleda-Baena C, Correa FB, Saraiva JP, Castillo S, Kasmanas JC, Chatzinotas A, Jurburg SD. HVRLocator: A Computationally Efficient Tool for Identifying Hypervariable Regions in 16S rRNA Big Datasets. Unknown Journal. 2025. doi:10.1101/2025.07.24.666487.