2026-06-02T05:19:51Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/310512026-02-03T11:11:00Zcom_10630_2254col_10630_37953

Espinosa García, Elena María Bautista-Moreno, Rocío Larrosa-Jiménez, Rafael Plata-González, Óscar Guillermo 2024-04-17T07:51:10Z 2024-04-17T07:51:10Z 2024-03 Espinosa, E., Bautista, R., Larrosa, R., & Plata, O. (2024). Advancements in long-read genome sequencing technologies and algorithms. Genomics (San Diego, Calif.), 110842-. https://hdl.handle.net/10630/31051 10.1016/j.ygeno.2024.110842 The recent advent of long read sequencing technologies, such as Pacific Biosciences (PacBio) and Oxford Nanopore technology (ONT), have led to substantial improvements in accuracy and computational cost in sequencing genomes. However, de novo whole-genome assembly still presents significant challenges related to the quality of the results. Pursuing de novo whole-genome assembly remains a formidable challenge, underscored by intricate considerations surrounding computational demands and result quality. As sequencing accuracy and throughput steadily advance, a continuous stream of innovative assembly tools floods the field. Navigating this dynamic landscape necessitates a reasonable choice of sequencing platform, depth, and assembly tools to orchestrate high-quality genome reconstructions. This comprehensive review delves into the intricate interplay between cutting-edge long read sequencing technologies, assembly methodologies, and the ever-evolving field of genomics. With a focus on addressing the pivotal challenges and harnessing the opportunities presented by these advancements, we provide an in-depth exploration of the crucial factors influencing the selection of optimal strategies for achieving robust and insightful genome assemblies. eng http://creativecommons.org/licenses/by/4.0/ open access Atribución 4.0 Internacional Bioinformática Advancements in long-read genome sequencing technologies and algorithms. journal article