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

机译:IAOseq:使用RNA-seq数据推断重叠基因的丰度

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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 (IAOseq) 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, IAOseq 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 IAOseq 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. IAOseq could be used to help us understand the complex regulatory mechanism mediated by overlapping transcripts. IAOseq is freely available at http://?lifecenter.?sgst.?cn/?main/?en/?IAO_?seq.?jsp .
机译:背景技术重叠转录是调节基因表达的通用机制。重叠转录测定的主要限制是缺乏高通量表达数据。结果我们开发了一种新工具(IAOseq),该工具基于转录区域的读取分布来从标准RNA-seq数据中识别重叠基因的表达水平。与五种常用定量方法相比,IAOseq在重叠转录水平的估计准确性方面显示出更好的性能。对于相同的链重叠转录,目前很少使用现有的高通量方法来区分原始mRNA模板中存在哪条链。 IAOseq结果表明,常用方法平均高估了相同链重叠基因表达水平1.6倍。结论这项工作为从标准RNA-seq文库中挖掘重叠的转录水平提供了有用的工具。 IAOseq可以用来帮助我们了解由转录本重叠介导的复杂调控机制。 IAOseq可从http://?lifecenter。?sgst。?cn /?main /?en /?IAO_?seq。?jsp免费获得。

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