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SpliceV: analysis and publication quality printing of linear and circular RNA splicing, expression and regulation

机译:SpliceV:分析和发表高质量的线性和环状RNA剪接,表达和调控印刷

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In eukaryotes, most genes code for multiple transcript isoforms that are generated through the complex and tightly regulated process of RNA splicing. Despite arising from identical precursor transcripts, alternatively spliced RNAs can have dramatically different functions. Transcriptome complexity is elevated further by the production of circular RNAs (circRNAs), another class of mature RNA that results from the splicing of a downstream splice donor to an upstream splice acceptor. While there has been a rapid expansion of circRNA catalogs in the last few years through the utilization of next generation sequencing approaches, our understanding of the mechanisms and regulation of circular RNA biogenesis, the impact that circRNA generation has on parental transcript processing, and the functions carried out by circular RNAs remains limited. Here, we present a visualization and analysis tool, SpliceV, that rapidly plots all relevant forward- and back-splice data, with exon and single nucleotide level coverage information from RNA-seq experiments in a publication quality format. SpliceV also integrates analysis features that assist investigations into splicing regulation and transcript functions through the display of predicted RNA binding protein sites and the configuration of repetitive elements along the primary transcript. SpliceV is an easy-to-use splicing visualization tool, compatible with both Python 2.7 and 3+, and distributed under the GNU Public License. The source code is freely available for download at https://github.com/flemingtonlab/SpliceV and can be installed from PyPI using pip.
机译:在真核生物中,大多数基因编码多种转录亚型,这些亚型是通过复杂且严格调控的RNA剪接过程产生的。尽管源于相同的前体转录物,但剪接的RNA可能具有截然不同的功能。转录组的复杂性通过环状RNA(circRNA)的产生而进一步提高,环状RNA是由下游剪接供体剪接至上游剪接受体而形成的另一类成熟RNA。通过使用下一代测序方法,在过去几年中,circRNA目录已迅速扩展,我们对环状RNA生物发生的机制和调控,circRNA生成对亲本转录物加工的影响以及功能的了解环状RNA进行的检测仍然有限。在这里,我们提供了一个可视化和分析工具SpliceV,该工具可以快速绘制所有相关的正向和反向剪接数据,并以出版质量格式显示来自RNA-seq实验的外显子和单核苷酸水平的覆盖信息。 SpliceV还集成了分析功能,可通过显示预测的RNA结合蛋白位点和沿主要转录本的重复元件构型来协助研究剪接调控和转录本功能。 SpliceV是一个易于使用的拼接可视化工具,与Python 2.7和3+兼容,并根据GNU公共许可证进行分发。源代码可从https://github.com/flemingtonlab/SpliceV免费下载,并可使用pip从PyPI安装。

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