@haonanwu.bsky.social
Reposted
Haonan Wu gives a talk on "A k-mer-based estimator of the substitution rate between repetitive sequences"
www.biorxiv.org/content/10.1...
This work tackles the issue of Mash which ignores repeats in the genome, providing better distance estimation #GI2025
www.biorxiv.org/content/10.1...
This work tackles the issue of Mash which ignores repeats in the genome, providing better distance estimation #GI2025
November 6, 2025 at 4:38 PM
Haonan Wu gives a talk on "A k-mer-based estimator of the substitution rate between repetitive sequences"
www.biorxiv.org/content/10.1...
This work tackles the issue of Mash which ignores repeats in the genome, providing better distance estimation #GI2025
www.biorxiv.org/content/10.1...
This work tackles the issue of Mash which ignores repeats in the genome, providing better distance estimation #GI2025
Reposted
🧵1/n
Estimating mutation rates using k-mers is fast—but what happens when repeats dominate the genome?
In a new preprint, Haonan Wu, Antonio Blanca, and myself propose a *repeat-aware* estimator that's accurate even in centromeres.
Estimating mutation rates using k-mers is fast—but what happens when repeats dominate the genome?
In a new preprint, Haonan Wu, Antonio Blanca, and myself propose a *repeat-aware* estimator that's accurate even in centromeres.
A k-mer-based estimator of the substitution rate between repetitive sequences https://www.biorxiv.org/content/10.1101/2025.06.19.660607v1
June 25, 2025 at 1:19 PM
🧵1/n
Estimating mutation rates using k-mers is fast—but what happens when repeats dominate the genome?
In a new preprint, Haonan Wu, Antonio Blanca, and myself propose a *repeat-aware* estimator that's accurate even in centromeres.
Estimating mutation rates using k-mers is fast—but what happens when repeats dominate the genome?
In a new preprint, Haonan Wu, Antonio Blanca, and myself propose a *repeat-aware* estimator that's accurate even in centromeres.