Abstract
Pangenome graphs are flexible data structures that contain the genetic variation that exists in a population of genomes and describe the sequences of the many possible ensuing haplotypes. Here, we use such a pangenome graph to represent and genotype transposable element (TE) polymorphisms. By combining the transposable element annotation (Alus, L1s, and SVAs) of the human genome reference with novel transposable element insertions observed in two high-quality assemblies (HG002 and HG00733), we show how to create a transposable element pangenome that consists of ~1.2 million reference and 2939 non-reference transposable elements. We then demonstrate this approach by aligning short-read sequencing data and genotyping transposable element deletions and insertions with reasonable specificity and sensitivity (0.85 F1-score).
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Groza, C., Bourque, G., Goubert, C. (2023). A Pangenome Approach to Detect and Genotype TE Insertion Polymorphisms. In: Branco, M.R., de Mendoza Soler, A. (eds) Transposable Elements. Methods in Molecular Biology, vol 2607. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2883-6_5
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DOI: https://doi.org/10.1007/978-1-0716-2883-6_5
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