trfermikit: a tool to discover VNTR-associated deletions

Area of Science:

• Genomics
• Bioinformatics
• Computational Biology

Background:

• Variable Number Tandem Repeats (VNTRs) are challenging genomic regions.
• Detecting structural variations, especially deletions, in VNTRs is crucial for understanding genetic diversity and disease.

Purpose of the Study:

• To introduce trfermikit, a novel software tool for detecting deletions larger than 50 bp in VNTRs.
• To evaluate trfermikit's performance against state-of-the-art structural variation callers.

Main Methods:

• trfermikit utilizes a pipeline involving read assembly, reference genome mapping, and variant calling.
• The tool is specifically designed for analysis of Illumina DNA sequencing reads.

Main Results:

• trfermikit achieves a superior balance between sensitivity and false discovery rate in VNTR regions compared to Manta.
• The software successfully identifies a significant number of deletions missed by Manta.

Conclusions:

• trfermikit offers a complementary approach to existing structural variation callers.
• This tool enhances the detection of deletions within complex VNTR regions, improving genomic analysis capabilities.