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