Diminishing Return for Increased Mappability with Longer Sequencing Reads: Implications of the k-mer Distributions in the Human Genome
Wentian Li, Jan Freudenberg, Pedro Miramontes

TL;DR
This study analyzes how increasing read length in sequencing improves genome mappability, revealing diminishing returns beyond 200 basepairs and identifying regions that remain challenging to sequence reliably.
Contribution
It provides a quantitative analysis of k-mer distributions in the human genome, showing limited gains in mappability with longer reads and highlighting persistent sequencing challenges.
Findings
Non-singleton k-mers decrease slowly with increasing k
Read lengths over 200 bp yield limited mappability improvements
Certain genomic regions remain difficult to sequence reliably
Abstract
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 greater length increases the chance for reads being uniquely mapped to the reference genome, a quantitative analysis of the influence of read lengths on mappability has been lacking. To address this question, we evaluate the k-mer distribution of the human reference genome. The k-mer frequency is determined for k ranging from 20 to 1000 basepairs. We use the proportion of non-singleton k-mers to evaluate the mappability of reads for a corresponding read length. We observe that the proportion of non-singletons decreases slowly with increasing k, and can be fitted by piecewise power-law functions with different exponents at different k ranges. A faster decay at smaller values for k indicates more limited…
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