2023
DOI: 10.1101/2023.09.11.557209
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A Unified Framework to Analyze Transposable Element Insertion Polymorphisms using Graph Genomes

Cristian Groza,
Xun Chen,
Travis J. Wheeler
et al.

Abstract: Transposable Elements (TEs) are abundant and mobile repetitive DNA sequences evolving within and across their hosts' genomes. Active TEs cause insertion polymorphism and contribute to genomic diversity. Here, we present GraffiTE, a flexible and comprehensive pipeline for detecting and genotyping polymorphic mobile elements (pMEs). By integrating state-of-the-art SV detection algorithms and graph-genome frameworks, GraffiTE enables the accurate identification of pMEs from genomic assemblies and long-read as wel… Show more

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Cited by 5 publications
(2 citation statements)
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References 104 publications
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“…The pangenomic graph approach emerges as a computationally efficient method for comparing multiple whole genome assemblies when characterizing TE insertions at sites with complex variations (Ebler et al 2020;Groza et al 2023) . Notably, our findings reveal a striking 74.65% of structural variant regions attributable to TEs.…”
Section: Discussionmentioning
confidence: 99%
“…The pangenomic graph approach emerges as a computationally efficient method for comparing multiple whole genome assemblies when characterizing TE insertions at sites with complex variations (Ebler et al 2020;Groza et al 2023) . Notably, our findings reveal a striking 74.65% of structural variant regions attributable to TEs.…”
Section: Discussionmentioning
confidence: 99%
“…GraffiTE 61 uses several assembled genomes from the same species. It aligns each assembled genome against the reference but without aligning the others pairwise.…”
Section: Discussionmentioning
confidence: 99%