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首页> 外文期刊>BMC Genomics >QuickRNASeq lifts large-scale RNA-seq data analyses to the next level of automation and interactive visualization
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QuickRNASeq lifts large-scale RNA-seq data analyses to the next level of automation and interactive visualization

机译:QuickRNASeq将大规模RNA-seq数据分析提升到自动化和交互式可视化的新高度

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RNA sequencing (RNA-seq), a next-generation sequencing technique for transcriptome profiling, is being increasingly used, in part driven by the decreasing cost of sequencing. Nevertheless, the analysis of the massive amounts of data generated by large-scale RNA-seq remains a challenge. Multiple algorithms pertinent to basic analyses have been developed, and there is an increasing need to automate the use of these tools so as to obtain results in an efficient and user friendly manner. Increased automation and improved visualization of the results will help make the results and findings of the analyses readily available to experimental scientists. By combing the best open source tools developed for RNA-seq data analyses and the most advanced web 2.0 technologies, we have implemented QuickRNASeq, a pipeline for large-scale RNA-seq data analyses and visualization. The QuickRNASeq workflow consists of three main steps. In Step #1, each individual sample is processed, including mapping RNA-seq reads to a reference genome, counting the numbers of mapped reads, quality control of the aligned reads, and SNP (single nucleotide polymorphism) calling. Step #1 is computationally intensive, and can be processed in parallel. In Step #2, the results from individual samples are merged, and an integrated and interactive project report is generated. All analyses results in the report are accessible via a single HTML entry webpage. Step #3 is the data interpretation and presentation step. The rich visualization features implemented here allow end users to interactively explore the results of RNA-seq data analyses, and to gain more insights into RNA-seq datasets. In addition, we used a real world dataset to demonstrate the simplicity and efficiency of QuickRNASeq in RNA-seq data analyses and interactive visualizations. The seamless integration of automated capabilites with interactive visualizations in QuickRNASeq is not available in other published RNA-seq pipelines. The high degree of automation and interactivity in QuickRNASeq leads to a substantial reduction in the time and effort required prior to further downstream analyses and interpretation of the analyses findings. QuickRNASeq advances primary RNA-seq data analyses to the next level of automation, and is mature for public release and adoption.
机译:RNA测序(RNA-seq)是一种用于转录组分析的下一代测序技术,其使用日益增加,部分原因是测序成本的降低。然而,对大规模RNA-seq产生的大量数据的分析仍然是一个挑战。已经开发了与基础分析有关的多种算法,并且越来越需要使这些工具的使用自动化,以便以有效且用户友好的方式获得结果。自动化程度的提高和结果可视化的改善将有助于使实验科学家容易获得分析的结果和发现。通过结合为RNA序列数据分析开发的最佳开源工具和最先进的Web 2.0技术,我们实现了QuickRNASeq,这是用于大规模RNA序列数据分析和可视化的管道。 QuickRNASeq工作流程包括三个主要步骤。在步骤#1中,处理每个单独的样品,包括将RNA-seq读图映射到参考基因组,计算映射的读图的数量,比对的读图的质量控制和SNP(单核苷酸多态性)调用。步骤#1占用大量计算资源,可以并行处理。在步骤2中,合并各个样本的结果,并生成一个集成的交互式项目报告。报告中的所有分析结果都可以通过一个HTML输入网页访问。步骤#3是数据解释和呈现步骤。此处实现的丰富可视化功能使最终用户可以交互式地探索RNA-seq数据分析的结果,并获得对RNA-seq数据集的更多见解。此外,我们使用了一个真实世界的数据集来证明QuickRNASeq在RNA-seq数据分析和交互式可视化中的简单性和效率。在其他已发布的RNA-seq管道中,自动化功能与QuickRNASeq中的交互式可视化功能的无缝集成是不可用的。 QuickRNASeq中高度的自动化和交互性可大大减少在进一步进行下游分析和分析结果解释之前所需的时间和精力。 QuickRNASeq将主要的RNA-seq数据分析推进到下一个自动化水平,并且已经成熟,可以公开发布和采用。

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