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Diminishing return for increased Mappability with longer sequencing reads: Implications of the k-mer distributions in the human genome
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The amount of non-unique sequence (non-singletons) in a genome directly affects the difficulty of read alignment to a reference assembly for high throughput-sequencing data. Although a longer read is more likely to be uniquely mapped to the reference genome, a quantitative analysis of the influence of read lengths on mappability has been lacking.
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