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A Bayesian approach for estimating allele-specific expression from RNA-Seq data with diploid genomes

机译:利用二倍体基因组从RNA-Seq数据估计等位基因特异性表达的贝叶斯方法

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摘要

BackgroundRNA-sequencing (RNA-Seq) has become a popular tool for transcriptome profiling in mammals. However, accurate estimation of allele-specific expression (ASE) based on alignments of reads to the reference genome is challenging, because it contains only one allele on a mosaic haploid genome. Even with the information of diploid genome sequences, precise alignment of reads to the correct allele is difficult because of the high-similarity between the corresponding allele sequences.
机译:背景技术RNA测序(RNA-Seq)已成为哺乳动物转录组分析的流行工具。但是,基于与参考基因组的读段比对准确估计等位基因特异性表达(ASE)是一项挑战,因为它在镶嵌单倍体基因组上仅包含一个等位基因。即使具有二倍体基因组序列的信息,由于相应等位基因序列之间的高度相似性,也很难将读数精确地对准正确的等位基因。

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