bioRxivBioinformaticsPreprint
Complex Indel Detection: A Simulation-Based Framework and Parsing with FreeBayes
Yong Hwee Eddie Loh, Michael R. LieberiD, Chih‐Lin HsiehiD, Zarko ManojloviciD
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Abstract
In contrast to simple deletions and simple insertions, most complex indels involve both deletions and insertions, often with base changes within a few nucleotides of the indels left and right boundaries. These complex indels often arise from double-strand breaks (DSB), which in normal somatic cells are predominantly repaired by nonhomologous DNA end joining (NHEJ). Such complex indels pose a difficult analytical problem for existing indel callers because the observed VCF representation may be locally shifted, extended with matching flanking bases, or fragmented into several closely spaced calls. To evaluate complex indel representation, we tested six variant calling approaches: FreeBayes, HaplotypeCaller, Mutect2, Strelka2, DRAGEN Germline, and DRAGEN Somatic pipelines. Among the approaches evaluated, FreeBayes most consistently represented simulated complex indels as single nearby variant records. We then developed a parsing workflow that derives effective deleted and inserted sequences from FreeBayes VCF output and enriches for candidate complex indels. This approach supports analysis of naturally occurring DSB repair events in single human colon crypts.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: variant effect prediction
- approach: statistical model
- approach: simulation
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