Virulence Factor Database for 16S metagenomics

Virulence-relevant KOs Database allows the prediction of bacterial virulence factor genes from 16S-based metagenomics using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) algorithm. After normalisation for 16S rDNA copy number and total species count, KEGG Orthologs (KO) abundances can be estimated using PICRUSt pre-computed files and virulence-specific genes parsed using VFDB_KO_unique file.毒力相关KEGG直系同源基因数据库（Virulence-relevant KOs Database）可借助通过重构未观测状态进行群落系统发育分析（Phylogenetic Investigation of Communities by Reconstruction of Unobserved States，PICRUSt）算法，从基于16S rRNA的宏基因组数据中预测细菌毒力因子基因。在针对16S rDNA拷贝数及物种总计数完成标准化处理后，可借助PICRUSt预计算文件估算KEGG直系同源基因（KEGG Orthologs，KO）的丰度，并通过VFDB_KO_unique文件筛选毒力特异性基因。