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原文連結
論文資訊
- 類型：已發表論文
- 日期：2022-06-28
摘要
Background: Calling germline SNP variants from bisulfite-converted sequencing data poses a challenge for conventional software, which have no inherent capability to dissociate true polymorphisms from artificial 突變s induced by the chemical treatment. Nevertheless, SNP data is desirable both for genotyping and to understand the DNA methylome in the context of the 遺傳 background. The confounding effect of bisulfite conversion however can be conceptually resolved by observing differences in allele counts on a per-strand basis, whereby artificial 突變s are reflected by non-complementary base pairs. Results: Herein, we present a 計算 pre-processing approach for adapting sequence alignment data, thus indirectly enabling downstream analysis on a per-strand basis using conventional variant calling softw
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