Computational tools to unmask transposable elements


Computational tools to unmask transposable elements

Computational tools to unmask transposable elements, Published online: 19 September 2018; doi:10.1038/s41576-018-0050-x

The repetitive nature of transposable elements (TEs) creates bioinformatic challenges that frequently result in them being disregarded (‘masked’) in analyses. As physiological and pathological roles for TEs become increasingly appreciated, this Review discusses bioinformatics tools dedicated to TE analysis, including for genomic annotation, TE classification, identifying polymorphisms and assessing likely functional impacts.

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