命令行到管道:跨生物银行分析与Nextflow。

Q2 Computer Science
Anurag Verma, Zachary Rodriguez, Lindsay Guare, Katie Cardone, Christopher Carson
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引用次数: 0

摘要

生物银行在基因组研究方面拥有巨大的潜力,但零散的数据和不兼容的工具阻碍了进展。本次研讨会为参与者提供了Nextflow,这是一种功能强大的工作流程语言,可以简化跨生物库的生物信息分析。我们教参与者用他们喜欢的语言编写代码,并演示Nextflow如何处理复杂性,确保跨不同平台的一致,可重复的结果。这个互动会议非常适合初学者到中级研究人员,他们希望(1)利用生物银行数据进行基因组发现,(2)建立便携式和可扩展的分析管道,(3)确保其发现的可重复性,(4)通过演示,演示,教程和与生物信息学专家的讨论获得实践经验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Command line to pipeLine: Cross-biobank analyses with Nextflow.

Biobanks hold immense potential for genomic research, but fragmented data and incompatible tools slow progress. This workshop equipped participants with Nextflow, a powerful workflow language to streamline bioinformatic analyses across biobanks. We taught participants to write code in their preferred language and demonstrated how Nextflow handles the complexities, ensuring consistent, reproducible results across different platforms. This interactive session was ideal for beginner-to-intermediate researchers who want to (1) Leverage biobank data for genomic discoveries, (2) Build portable and scalable analysis pipelines, (3) Ensure reproducibility in their findings, (4) Gain hands-on experience through presentations, demonstrations, tutorials, and discussions with bioinformatics experts.

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CiteScore
4.50
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