A pangenome analysis pipeline provides insights into functional gene identification in rice.

Jian WangWu YangShaohong ZhangHaifei HuYuxuan YuanJingfang DongLuo ChenYamei MaTifeng YangLian ZhouJiansong ChenBin LiuChengdao LiDavid EdwardsJunliang Zhao

Published in: Genome biology (2023)

Our results demonstrate that the pangenome constructed by our pipeline combined with a presence and absence variation-based GWAS can provide additional power for genomic and genetic analysis. The pangenome constructed in this study and the associated genome sequence and genetic variants data provide valuable genomic resources for rice genomics research and improvement in future.

Keyphrases

copy number
wastewater treatment
genome wide
current status
big data
dna methylation
gene expression
machine learning
data analysis