Despite recent advances in the length and the accuracy of long-read data, building haplotype-resolved genome assemblies from telomere to telomere still requires considerable computational resources. In this study, we present an efficient de novo assembly algorithm that combines multiple sequencing technologies to scale up population-wide telomere-to-telomere assemblies. By utilizing twenty-two human and two plant genomes, we demonstrate that our algorithm is around an order of magnitude cheaper than existing methods, while producing better diploid and haploid assemblies. Notably, our algorithm is the only feasible solution to the haplotype-resolved assembly of polyploid genomes.
@article{arxiv.2306.03399,
title = {Scalable telomere-to-telomere assembly for diploid and polyploid genomes with double graph},
author = {Haoyu Cheng and Mobin Asri and Julian Lucas and Sergey Koren and Heng Li},
journal= {arXiv preprint arXiv:2306.03399},
year = {2023}
}