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Related Experiment Video

Updated: Sep 11, 2025

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

FocalSV enables target region-based structural variant assembly and refinement using single-molecule long-read

Can Luo¹, Zimeng Jamie Zhou², Yichen Henry Liu²

¹Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee 37235, USA.

Genome Research

|August 13, 2025

Summary

FocalSV is a new framework for detecting structural variants (SVs) in the human genome. It improves precision and efficiency in identifying genetic variations, aiding precision medicine advancements.

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Last Updated: Sep 11, 2025

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

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Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

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Published on: June 23, 2012

Area of Science:

Genomics
Bioinformatics
Human Genetics

Background:

Structural variants (SVs) are key to human genome diversity and precision medicine.
Accurate detection of SV breakpoints and sequences remains challenging with current long-read sequencing technologies.
Existing alignment-based and assembly-based methods have limitations for targeted SV analysis.

Purpose of the Study:

To introduce FocalSV, a novel targeted framework for precise structural variant detection.
To address the limitations of current SV detection tools in predefined regions of interest.
To improve the accuracy and efficiency of identifying SV breakpoints and sequences.

Main Methods:

FocalSV integrates both assembly- and alignment-based signals for SV detection.
It employs a region-specific analysis approach, combining local assembly precision with efficiency.
The framework supports user-defined target regions and can automatically expand regions with potential SVs.

Main Results:

FocalSV demonstrated superior performance in precision and efficiency compared to existing methods.
Evaluated on diverse germline and cancer datasets, it showed enhanced SV detection capabilities.
The targeted approach enables more accurate characterization of SV breakpoints and sequences.

Conclusions:

FocalSV offers a more accurate and efficient solution for targeted structural variant detection.
This framework has significant potential for advancing genomic research and precision medicine applications.
It overcomes limitations of existing methods for SV analysis in predefined genomic regions.