.png){kind=icon}
返回
Building pangenome graphs
.png){kind=icon}
PRE
AI
DOI：10.1038/s41592-024-02430-3.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Pangenome graphs can represent all variation between multiple reference genomes, but current approaches to build them exclude complex sequences or are based upon a single reference. In response, we developed the PanGenome Graph Builder, a pipeline for constructing pangenome graphs without bias or exclusion. The PanGenome Graph Builder uses all-to-all alignments to build a variation graph in which we can identify variation, measure conservation, detect recombination events and infer phylogenetic relationships. PGGB is a modular framework for efficiently building unbiased pangenome graphs, supporting diverse downstream analyses.
期刊
IF:
32.1
论文数:
7.2K
被引数:
12.7W
机构
查看更多机构
引用论文
A universal SNP and small-indel variant caller using deep neural networks使用深度神经网络的通用SNP和小indel变体调用器.png)
NATURE BIOTECHNOLOGY
OAAI
NATURE BIOTECHNOLOGYIF41.7
OAAI分享收藏Comprehensive evaluation of structural variation detection algorithms for whole genome sequencing全基因组测序结构变异检测算法的综合评价GENOME BIOLOGYOAAI
GENOME BIOLOGYIF9.4
OAAI分享收藏From Louvain to Leiden: guaranteeing well-connected communities从鲁汶到莱顿: 保证良好连接的社区SCIENTIFIC REPORTSOAAI
SCIENTIFIC REPORTSIF3.9
OAAI分享收藏Effects of peritoneal injury and endotoxin on myoelectric activity and transit腹膜损伤和内毒素对肌电活动和传输的影响
PREAI
分享收藏分享收藏 查看更多内容