文献类型： 外文期刊
作者： Hu, Haifei 1 ; Li, Risheng 1 ; Zhao, Junliang 1 ; Batley, Jacqueline 5 ; Edwards, David 5 ;
作者机构： 1.Guangdong Acad Agr Sci, Rice Res Inst, Guangzhou 510640, Peoples R China
2.Minist Agr & Rural Affairs, Key Lab Genet & Breeding High Qual Rice Southern C, Guangzhou 510640, Peoples R China
3.Guangdong Key Lab New Technol Rice Breeding & Guan, Guangzhou 510640, Peoples R China
4.South China Agr Univ, Coll Agr, Guangzhou 510642, Guangdong, Peoples R China
5.Univ Western Australia, Sch Biol Sci, Perth, WA, Australia
6.Univ Western Australia, Ctr Appl Bioinformat, Perth, WA 6009, Australia
关键词： pangenome; plant; genome variation; bioinformatic pipeline; data analysis and visualization
期刊名称：GENOME BIOLOGY AND EVOLUTION （ 影响因子：3.3； 五年影响因子：3.5 ）
ISSN： 1759-6653
年卷期： 2024 年 16 卷 4 期
页码：
收录情况： SCI
摘要： A pangenome captures the genomic diversity for a species, derived from a collection of genetic sequences of diverse populations. Advances in sequencing technologies have given rise to three primary methods for pangenome construction and analysis: de novo assembly and comparison, reference genome-based iterative assembly, and graph-based pangenome construction. Each method presents advantages and challenges in processing varying amounts and structures of DNA sequencing data. With the emergence of high-quality genome assemblies and advanced bioinformatic tools, the graph-based pangenome is emerging as an advanced reference for exploring the biological and functional implications of genetic variations.
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