EUPAN enables pan-genome studies of a large number of eukaryotic genomes

被引:38
|
作者
Hu, Zhiqiang [1 ,2 ]
Sun, Chen [1 ,2 ]
Lu, Kuang-chen [1 ]
Chu, Xixia [3 ]
Zhao, Yue [1 ]
Lu, Jinyuan [1 ,2 ]
Shi, Jianxin [4 ]
Wei, Chaochun [1 ,2 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, Dept Bioinformat & Biostat, Shanghai 200240, Peoples R China
[2] Shanghai Ctr Bioinformat Technol, 1278 Keyuan Rd, Shanghai 201203, Peoples R China
[3] Shanghai Jiao Tong Univ, Bio X Inst, Shanghai 200240, Peoples R China
[4] Shanghai Jiao Tong Univ, Sch Life Sci & Biotechnol, Dept Genet & Dev Sci, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
READ ALIGNMENT; RICE;
D O I
10.1093/bioinformatics/btx170
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Pan-genome analyses are routinely carried out for bacteria to interpret the within-species gene presence/absence variations (PAVs). However, pan-genome analyses are rare for eukaryotes due to the large sizes and higher complexities of their genomes. Here we proposed EUPAN, a eukaryotic pan-genome analysis toolkit, enabling automatic large-scale eukaryotic pan-genome analyses and detection of gene PAVs at a relatively low sequencing depth. In the previous studies, we demonstrated the effectiveness and high accuracy of EUPAN in the pan-genome analysis of 453 rice genomes, in which we also revealed widespread gene PAVs among individual rice genomes. Moreover, EUPAN can be directly applied to the current re-sequencing projects primarily focusing on single nucleotide polymorphisms.
引用
收藏
页码:2408 / 2409
页数:2
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