RNA-SeqEZPZ: a point-and-click pipeline for comprehensive transcriptomics analysis with interactive visualizations.

IF 5 2区 生物学 Q1 MULTIDISCIPLINARY SCIENCES
Cenny Taslim, Yuan Zhang, Galen Rask, Genevieve C Kendall, Emily R Theisen
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引用次数: 0

Abstract

Background: RNA sequencing (RNA-seq) analysis has become a routine task in numerous genomic research labs, driven by the reduced cost of bulk RNA sequencing experiments. These studies generate billions of reads that require easy-to-run, comprehensive, and reproducible analysis. However, many labs rely on in-house scripts, which can be challenging for bench scientists to use and hinder standardization and reproducibility. While existing RNA-seq pipelines attempt to address these challenges, they often lack a complete end-to-end user interface.

Findings: To bridge this gap, we developed RNA-SeqEZPZ, an automated pipeline with a user-friendly point-and-click interface, enabling rigorous and reproducible RNA-seq analysis without requiring programming or bioinformatics expertise. For advanced users, the pipeline can also be executed from the command line, allowing customization of steps to suit specific applications. The innovation of this pipeline lies in the combination of 3 key features: (i) all software is packaged within a Singularity container, eliminating installation issues; (ii) it offers a graphical, point-and-click interface from raw FASTQ files through differential expression and pathway analysis; and (iii) it includes a Nextflow implementation, enabling scalability and portability for seamless execution across various platforms, including job submission in the cloud and cluster computing. Additionally, RNA-SeqEZPZ generates a comprehensive statistical report and offers an option for batch adjustment to minimize effects of noise due to technical variation across replicates. Reports can also be reviewed by a bioinformatician to ensure the overall quality of the analysis.

Conclusions: RNA-SeqEZPZ is a robust, accessible, and scalable solution for comprehensive RNA-seq analysis, enabling researchers to focus on biological insights rather than computational challenges.

RNA-SeqEZPZ:一个点和点击管道综合转录组学分析与交互式可视化。
背景:由于大量RNA测序实验成本的降低,RNA- seq分析已成为许多基因组研究实验室的常规任务。这些研究产生了数十亿个读数,需要易于运行、全面和可重复的分析。然而,许多实验室依赖于内部脚本,这对于实验室科学家来说是具有挑战性的,并且阻碍了标准化和可重复性。虽然现有的RNA-Seq管道试图解决这些挑战,但它们往往缺乏完整的端到端用户界面。为了弥补这一差距,我们开发了RNA-SeqEZPZ,这是一种具有用户友好的点击界面的自动化管道,无需编程或生物信息学专业知识即可进行严格且可重复的RNA-Seq分析。对于高级用户,还可以从命令行执行管道,从而允许定制步骤以适应特定的应用程序。该管道的创新之处在于三个关键特性的结合:(1)所有软件都打包在一个Singularity容器中,消除了安装问题;(2)通过差分表达式和路径分析,它提供了一个来自原始FASTQ文件的点击式界面;(3)它包含一个Nextflow版本,实现了可扩展性和可移植性,可以在各种平台上无缝执行,包括云和集群计算中的作业提交。此外,RNA-SeqEZPZ生成全面的统计报告,并提供批量调整选项,以尽量减少由于重复的技术变化而产生的噪音影响。报告也可以由生物信息学家审查,以确保分析的整体质量。结论:RNA-SeqEZPZ是一个强大的、可访问的、可扩展的全面RNA-Seq分析解决方案,使研究人员能够专注于生物学见解,而不是计算挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
GigaScience
GigaScience MULTIDISCIPLINARY SCIENCES-
CiteScore
15.50
自引率
1.10%
发文量
119
审稿时长
1 weeks
期刊介绍: GigaScience seeks to transform data dissemination and utilization in the life and biomedical sciences. As an online open-access open-data journal, it specializes in publishing "big-data" studies encompassing various fields. Its scope includes not only "omic" type data and the fields of high-throughput biology currently serviced by large public repositories, but also the growing range of more difficult-to-access data, such as imaging, neuroscience, ecology, cohort data, systems biology and other new types of large-scale shareable data.
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