Advancing bioinformatics capacity through Nextflow and nf-core: lessons from an early-to mid-career researchers-focused program at The Kids Research Institute Australia.

IF 3.9 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Frontiers in bioinformatics Pub Date : 2025-08-29 eCollection Date: 2025-01-01 DOI:10.3389/fbinf.2025.1610015
Patricia Agudelo-Romero, Talya Conradie, Jose Antonio Caparros-Martin, David Jimmy Martino, Anthony Kicic, Stephen Michael Stick, Christopher Hakkaart, Abhinav Sharma
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Abstract

The increasing adoption of high-throughput "omics" technologies has heightened the demand for standardized, scalable, and reproducible bioinformatics workflows. Nextflow and nf-core provide a robust framework for researchers, particularly early- and mid-career researchers (EMCRs), to navigate complex data analysis. At The Kids Research Institute Australia, we implemented a structured approach to bioinformatics capacity building using these tools. This perspective presents nine practical rules derived from lessons learnt, which facilitated the successful adoption of Nextflow and nf-core, addressing implementation challenges, knowledge gaps, resource allocation, and community support. Our experience serves as a guide for institutions aiming to establish sustainable bioinformatics capabilities and empower EMCRs.

Abstract Image

通过Nextflow和nf-core提升生物信息学能力:来自澳大利亚儿童研究所早期到中期职业研究人员的经验教训。
越来越多地采用高通量“组学”技术,提高了对标准化、可扩展和可重复的生物信息学工作流程的需求。Nextflow和nf-core为研究人员,特别是职业生涯早期和中期的研究人员(emcr)提供了一个强大的框架,以导航复杂的数据分析。在澳大利亚儿童研究所,我们使用这些工具实施了一种结构化的方法来进行生物信息学能力建设。这一观点提出了从经验教训中得出的9条实用规则,这些规则促进了Nextflow和nf-core的成功采用,解决了实施挑战、知识差距、资源分配和社区支持。我们的经验可以作为旨在建立可持续生物信息学能力和授权emcr的机构的指南。
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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