无论是基于某一群体或者家系的全基因组重测序数据，信息分析内容大致包括以下几个方面：

初级分析内容：

主要包括calling SNP、calling InDel/CNV/SNV、以及calling structure variation以及对应的注释，也可以对筛选出的基因的GO富集分析，Pathway富集分析。

初级分析延伸：

1.SNP/SNV等各种不同类型指标的统计

2.融合基因的发现

3.推断结构变异形成的机制

4.分析变异结构各类属性：neutral coalescent分析、偏好性、新颖性分布、BreakPoint Junction分析等

高级分析：

1.SNP/SNV 与不同性状或疾病进行GWAS分析

2.遗传多样性和进化选择模式分析

3.其他

参考文献

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