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Related Experiment Video

Updated: May 25, 2026

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

VPA: an R tool for analyzing sequencing variants with user-specified frequency pattern.

Qiang Hu¹, Dan Wang, Li Yan

¹Department of Biostatistics, Roswell Park Cancer Institute, Buffalo, New York 14263, USA. Song.Liu@RoswellPark.org.

BMC Research Notes

|January 17, 2012

Summary

Variant Pattern Analyzer (VPA) is an R tool that prioritizes genetic variants based on frequency patterns across next-generation sequencing studies. This computational tool aids in functional exploration and hypothesis generation for genetic research.

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Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Next-generation sequencing (NGS) generates vast amounts of genetic variant data.
Effective computational tools are crucial for prioritizing these variants.

Purpose of the Study:

To introduce Variant Pattern Analyzer (VPA), an R tool for genetic variant prioritization.
To enable the extraction of variants with specific frequency patterns from NGS data across multiple subjects.

Main Methods:

VPA processes individual variant and sequence call files.
It extracts variants based on user-defined frequency patterns and quality criteria.
The tool supports matched pair designs and multi-group studies.

Main Results:

VPA effectively prioritizes genetic variants according to specified frequency patterns.
It incorporates position-level quality criteria for variant extraction.
The tool is applicable to diverse study designs, including matched pairs and multiple groups.

Conclusions:

VPA serves as an automated pipeline for variant prioritization in NGS studies.
It facilitates functional exploration and hypothesis generation.
The VPA package is freely available as an R language implementation.