Department of Computer Science, Rice University, Houston, TX, USA.
Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Genome Biol. 2022 Aug 29;23(1):182. doi: 10.1186/s13059-022-02735-6.
With the arrival of telomere-to-telomere (T2T) assemblies of the human genome comes the computational challenge of efficiently and accurately constructing multiple genome alignments at an unprecedented scale. By identifying nucleotides across genomes which share a common ancestor, multiple genome alignments commonly serve as the bedrock for comparative genomics studies. In this review, we provide an overview of the algorithmic template that most multiple genome alignment methods follow. We also discuss prospective areas of improvement of multiple genome alignment for keeping up with continuously arriving high-quality T2T assembled genomes and for unlocking clinically-relevant insights.
随着人类基因组的端粒到端粒(T2T)组装的到来,计算效率和准确构建前所未有的大规模多基因组比对的挑战随之而来。通过识别基因组中具有共同祖先的核苷酸,多基因组比对通常作为比较基因组学研究的基础。在这篇综述中,我们概述了大多数多基因组比对方法遵循的算法模板。我们还讨论了多基因组比对的未来改进领域,以跟上不断到来的高质量 T2T 组装基因组,并为临床相关见解提供支持。