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Splicing Express: a software suite for alternative splicing analysis using next-generation sequencing data

机译:Splicing Express:使用下一代测序数据进行替代剪接分析的软件套件

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摘要

>Motivation. Alternative splicing events (ASEs) are prevalent in the transcriptome of eukaryotic species and are known to influence many biological phenomena. The identification and quantification of these events are crucial for a better understanding of biological processes. Next-generation DNA sequencing technologies have allowed deep characterization of transcriptomes and made it possible to address these issues. ASEs analysis, however, represents a challenging task especially when many different samples need to be compared. Some popular tools for the analysis of ASEs are known to report thousands of events without annotations and/or graphical representations. A new tool for the identification and visualization of ASEs is here described, which can be used by biologists without a solid bioinformatics background.>Results. A software suite named Splicing Express was created to perform ASEs analysis from transcriptome sequencing data derived from next-generation DNA sequencing platforms. Its major goal is to serve the needs of biomedical researchers who do not have bioinformatics skills. Splicing Express performs automatic annotation of transcriptome data (GTF files) using gene coordinates available from the UCSC genome browser and allows the analysis of data from all available species. The identification of ASEs is done by a known algorithm previously implemented in another tool named Splooce. As a final result, Splicing Express creates a set of HTML files composed of graphics and tables designed to describe the expression profile of ASEs among all analyzed samples. By using RNA-Seq data from the Illumina Human Body Map and the Rat Body Map, we show that Splicing Express is able to perform all tasks in a straightforward way, identifying well-known specific events.>Availability and Implementation.Splicing Express is written in Perl and is suitable to run only in UNIX-like systems. More details can be found at: .
机译:>动机。选择性剪接事件(ASE)在真核生物的转录组中普遍存在,并且已知会影响许多生物学现象。这些事件的识别和量化对于更好地了解生物学过程至关重要。下一代DNA测序技术已经实现了转录组的深入表征,并使得解决这些问题成为可能。然而,ASEs分析是一项艰巨的任务,尤其是当需要比较许多不同的样本时。众所周知,一些流行的ASE分析工具可以报告数千个事件,而没有注释和/或图形表示。本文介绍了一种用于ASE识别和可视化的新工具,可供没有扎实的生物信息学背景的生物学家使用。>结果。创建了一个名为Splicing Express的软件套件,用于从转录组测序中进行ASEs分析。来自下一代DNA测序平台的数据。它的主要目标是满足没有生物信息学技能的生物医学研究人员的需求。 Splicing Express使用可从UCSC基因组浏览器获得的基因坐标执行转录组数据(GTF文件)的自动注释,并允许分析所有可用物种的数据。 ASE的识别是通过先前在另一个名为Splooce的工具中实施的已知算法完成的。最终结果是,Splicing Express创建了一组由图形和表格组成的HTML文件,这些图形和表格旨在描述所有分析样本中ASE的表达谱。通过使用Illumina人体图和大鼠人体图的RNA-Seq数据,我们证明了Splicing Express能够以直接的方式执行所有任务,并识别众所周知的特定事件。>可用性和实现。 strong> Splicing Express是用Perl编写的,适合仅在类似UNIX的系统中运行。有关更多详细信息,请参见:。

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