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PrimerSeq:Design and Visualization of RT-PCR Primers for Alternative Splicing Using RNA-seq Data

机译:PrimerSeq:使用RNA-seq数据进行选择性剪接的RT-PCR引物的设计和可视化

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摘要

The vast majority of multi-exon genes in higher eukaryotes are alternatively spliced and changes in alternative splicing (AS) can impact gene function or cause disease. High-throughput RNA sequencing (RNA-seq) has become a powerful technology for transcriptome-wide analysis of AS, but RT-PCR still remains the gold-standard approach for quantifying and validating exon splicing levels. We have developed PrimerSeq, a user-friendly software for systematic design and visualization of RT-PCR primers using RNA-seq data. PrimerSeq incorporates user-provided tran-scriptome profiles (i.e., RNA-seq data) in the design process, and is particularly useful for large-scale quantitative analysis of AS events discovered from RNA-seq experiments. PrimerSeq features a graphical user interface (GUI) that displays the RNA-seq data juxtaposed with the expected RT-PCR results. To enable primer design and visualization on user-provided RNA-seq data and transcript annotations, we have developed PrimerSeq as a stand-alone software that runs on local computers. PrimerSeq is freely available for Windows and Mac OS X along with source code at http://primerseq.sourceforge.net/. With the growing popularity of RNA-seq for transcriptome stud-ies, we expect PrimerSeq to help bridge the gap between high-throughput RNA-seq discovery of AS events and molecular analysis of candidate events by RT-PCR.
机译:高等真核生物中的绝大多数外显子基因被选择性剪接,替代剪接(AS)中的变化会影响基因功能或引起疾病。高通量RNA测序(RNA-seq)已成为对AS进行转录组分析的一项强大技术,但是RT-PCR仍然是量化和验证外显子剪接水平的金标准方法。我们已经开发了PrimerSeq,这是一种用户友好的软件,用于使用RNA-seq数据进行RT-PCR引物的系统设计和可视化。 PrimerSeq在设计过程中结合了用户提供的转录组配置文件(即RNA-seq数据),对于从RNA-seq实验中发现的AS事件的大规模定量分析特别有用。 PrimerSeq具有图形用户界面(GUI),可显示与预期RT-PCR结果并列的RNA-seq数据。为了对用户提供的RNA-seq数据和转录本注释进行引物设计和可视化,我们开发了PrimerSeq,作为在本地计算机上运行的独立软件。 Windows和Mac OS X可以免费免费使用PrimerSeq以及http://primerseq.sourceforge.net/上的源代码。随着转录组研究中RNA-seq的日益普及,我们希望PrimerSeq有助于弥补AS事件的高通量RNA-seq发现与通过RT-PCR进行候选事件的分子分析之间的差距。

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    Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA;

    Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA;

    Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA;

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  • 原文格式 PDF
  • 正文语种 eng
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