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SL-quant: a fast and flexible pipeline to quantify spliced leader trans-splicing events from RNA-seq data

机译:SL-quant:一种快速,灵活的管道,用于从RNA-seq数据中量化剪接的前导反剪接事件

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Background The spliceosomal transfer of a short spliced leader (SL) RNA to an independent pre-mRNA molecule is called SL trans-splicing and is widespread in the nematode Caenorhabditis elegans . While RNA-sequencing (RNA-seq) data contain information on such events, properly documented methods to extract them are lacking. Findings To address this, we developed SL-quant , a fast and flexible pipeline that adapts to paired-end and single-end RNA-seq data and accurately quantifies SL trans-splicing events. It is designed to work downstream of read mapping and uses the reads left unmapped as primary input. Briefly, the SL sequences are identified with high specificity and are trimmed from the input reads, which are then remapped on the reference genome and quantified at the nucleotide position level (SL trans-splice sites) or at the gene level. Conclusions SL-quant completes within 10 minutes on a basic desktop computer for typical C. elegans RNA-seq datasets and can be applied to other species as well. Validating the method, the SL trans-splice sites identified display the expected consensus sequence, and the results of the gene-level quantification are predictive of the gene position within operons. We also compared SL-quant to a recently published SL-containing read identification strategy that was found to be more sensitive but less specific than SL-quant . Both methods are implemented as a bash script available under the MIT license [ 1 ]. Full instructions for its installation, usage, and adaptation to other organisms are provided.
机译:背景技术短剪接的前导(SL)RNA到一个独立的前mRNA分子的剪接转移称为SL反式剪接,并广泛存在于线虫秀丽隐杆线虫(Caenorhabditis elegans)中。尽管RNA测序(RNA-seq)数据包含有关此类事件的信息,但缺乏正确记录的提取这些事件的方法。为了解决这个问题,我们开发了SL-quant,这是一种快速灵活的流水线,适用于双端和单端RNA-seq数据并准确定量SL反剪接事件。它设计用于读取映射的下游,并将未映射的读取用作主要输入。简而言之,SL序列具有很高的特异性,并从输入的读数中被剪裁,然后将其重新映射到参考基因组上,并在核苷酸位置水平(SL反剪位点)或基因水平进行定量。结论SL-quant在典型的秀丽隐杆线虫RNA-seq数据集的基本台式计算机上可以在10分钟内完成,并且也可以应用于其他物种。验证该方法,鉴定出的SL反式剪接位点显示预期的共有序列,并且基因水平定量的结果可预测操纵子中的基因位置。我们还将SL-quant与最近发布的包含SL的阅读识别策略进行了比较,发现该策略比SL-quant更为灵敏但特异性较低。两种方法均以MIT许可证[1]下的bash脚本形式实现。提供了有关其安装,使用以及对其他生物的适应性的完整说明。

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