lAOseq: inferring abundance of overlapping genes using RNA-seq data

摘要

Background: Overlapping transcription constitutes a common mechanism for regulating gene expression. A major limitation of the overlapping transcription assays is the lack of high throughput expression data.Results: We developed a new tool (lAOseq) that is based on reads distributions along the transcribed regions to identify the expression levels of overlapping genes from standard RNA-seq data. Compared with five commonly used quantification methods, lAOseq showed better performance in the estimation accuracy of overlapping transcription levels. For the same strand overlapping transcription, currently existing high-throughput methods are rarely available to distinguish which strand was present in the original mRNA template. The lAOseq results showed that the commonly used methods gave an average of 1.6 fold overestimation of the expression levels of same strand overlapping genes.Conclusions: This work provides a useful tool for mining overlapping transcription levels from standard RNA-seq libraries. lAOseq could be used to help us understand the complex regulatory mechanism mediated by overlapping transcripts. lAOseq is freely available at http://lifecenter.sgst.cn/main/en/IAO_seq.jsp.