Creating a universal SNP and small indel variant caller with deep neural networks理解
一、deepvariant研究背景 1.NGS數據的測序過程存在測序錯誤，錯誤率~0.1-10% 不等，並且不同測序設備的錯誤類型存在不同 read1第一個鹼基T 對應的質量字符爲/，其質量值爲ASCII（/）-33，爲14，代表這個鹼基被正確測序的概率爲91% 第二個鹼基C 對應的質量字符爲A，其質量值爲ASCII（A）-33，爲32，代表這個鹼基被正確測序的概率爲99.9% 2.腫瘤樣本的異質
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