HMVV
HMVV interprets somatic variants from next-generation sequencing (NGS) data to support cancer genomic analysis and clinical decision-making.
Key Features:
- Iterative development and versioning: Five sequential updates over more than 1.5 years produced version 3 and incorporated end-user feedback.
- Improved computational performance: Enhancements yielded up to an eightfold reduction in bioinformatics pipeline computation time for HMVV’s longest-running assays.
- Reduction of manual errors: Workflow and automation changes minimize opportunities for manual data-entry errors during variant interpretation.
- Workflow integration: Supports pipeline monitoring, variant interpretation, annotation, and integration with laboratory information systems.
- System maintenance, security, and modularity: Includes enhanced defect reporting, heightened data security measures, and increased modularity in code and system environments.
- Validation according to expert guidelines: Each update was validated following expert guidelines to ensure accuracy and performance for clinical applications.
Scientific Applications:
- Cancer somatic variant interpretation: Applied in cancer research laboratories to interpret somatic variants identified by NGS.
- Clinical workflow acceleration: Accelerates interpretation so molecular pathologists can analyze assay results at least two days sooner, supporting timely clinical decision-making.
Methodology:
The associated bioinformatics pipeline is available at https://github.com/hmvv/ngs_pipelines and uses the MAIN_runPipelines.sh script, which is commonly scheduled via a cron job for continuous automated processing.
Topics
Details
- License:
- AGPL-3.0
- Tool Type:
- desktop application
- Programming Languages:
- Java
- Added:
- 1/18/2021
- Last Updated:
- 1/30/2021
Operations
Publications
Christensen PA, Subedi S, Pepper K, Hendrickson HL, Li Z, Thomas JS, Long SW, Olsen RJ. Development and validation of Houston Methodist Variant Viewer version 3: updates to our application for interpretation of next-generation sequencing data. JAMIA Open. 2020;3(2):299-305. doi:10.1093/jamiaopen/ooaa004. PMID:32734171. PMCID:PMC7382636.
Links
Repository
https://github.com/hmvv/hmvv