生物
计算生物学
DNA测序
工作流程
数据科学
基因组学
注释
基因组
计算机科学
生物信息学
遗传学
基因
数据库
作者
Medhat Mahmoud,Daniel Paiva Agustinho,Fritz J. Sedlazeck
出处
期刊:Genome Research
[Cold Spring Harbor Laboratory Press]
日期:2025-04-01
卷期号:35 (4): 545-558
被引量:1
标识
DOI:10.1101/gr.279975.124
摘要
Over the past decade, long-read sequencing has evolved into a pivotal technology for uncovering the hidden and complex regions of the genome. Significant cost efficiency, scalability, and accuracy advancements have driven this evolution. Concurrently, novel analytical methods have emerged to harness the full potential of long reads. These advancements have enabled milestones such as the first fully completed human genome, enhanced identification and understanding of complex genomic variants, and deeper insights into the interplay between epigenetics and genomic variation. This mini-review provides a comprehensive overview of the latest developments in long-read DNA sequencing analysis, encompassing reference-based and de novo assembly approaches. We explore the entire workflow, from initial data processing to variant calling and annotation, focusing on how these methods improve our ability to interpret a wide array of genomic variants. Additionally, we discuss the current challenges, limitations, and future directions in the field, offering a detailed examination of the state-of-the-art bioinformatics methods for long-read sequencing.
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