PEGR: a management platform for ChIP-based next generation sequencing pipelines.

PEGR: a management platform for ChIP-based next generation sequencing pipelines.
复制标题

DOI:
10.1145/3311790.3396621
复制
发表时间:
2020-07
期刊:
PEARC20 : Practice and Experience in Advanced Research Computing 2020 : Catch the wave : July 27-31, 2020, Portland, Or Virtual Conference. Practice and Experience in Advanced Research Computing (Conference) (2020 : Online)
影响因子:
--
通讯作者:
--
中科院分区:
其他
文献类型:
--
作者:

文献摘要

相似文献

基因组测序技术发展迅速,包括高通量下一代测序(NGS)技术、生物实验自动化、新的生物信息学工具以及高性能计算和云计算的利用。基于芯片的NGS技术,如CHIP-SEQ和CHIP-EXO,被广泛用于检测基因组中与DNA相互作用的蛋白质的结合部位,并帮助我们从更深的机制上理解基因组的调控。由于基于芯片的NGS管道以前所未有的速度生成测序数据,因此迫切需要一种元数据管理系统。为了满足这一需求,我们开发了真核生物基因组调控平台(PEGR),这是一个Web服务平台,可以记录样品和测序实验的元数据,管理数据处理工作流,并提供报告和可视化。PEGR将人、样本、协议、DNA测序仪和生物信息学计算联系在一起。在PEGR的帮助下,科学家可以对测序数据有更全面的了解,并更好地了解基因组调控的科学机制。本文介绍了PEGR的体系结构和主要功能。我们还分享了开发该应用程序的经验,并讨论了未来的方向。
There has been a rapid development in genome sequencing, including high-throughput next generation sequencing (NGS) technologies, automation in biological experiments, new bioinformatics tools and utilization of high-performance computing and cloud computing. ChIP-based NGS technologies, e.g. ChIP-seq and ChIP-exo, are widely used to detect the binding sites of DNA-interacting proteins in the genome and help us to have a deeper mechanistic understanding of genomic regulation. As sequencing data is generated at an unprecedented pace from the ChIP-based NGS pipelines, there is an urgent need for a metadata management system. To meet this need, we developed the Platform for Eukaryotic Genomic Regulation (PEGR), a web service platform that logs metadata for samples and sequencing experiments, manages the data processing workflows, and provides reporting and visualization. PEGR links together people, samples, protocols, DNA sequencers and bioinformatics computation. With the help of PEGR, scientists can have a more integrated understanding of the sequencing data and better understand the scientific mechanisms of genomic regulation. In this paper, we present the architecture and the major functionalities of PEGR. We also share our experience in developing this application and discuss the future directions.