一个基于云的培训模块,用于使用Nextflow和谷歌云计算高效的de novo转录组装
Ryan P Seaman1, Ross Campbell2, Valena Doe3
1MDI Biological Laboratory, 159 Old Bar Harbor Road, Bar Harbor, ME 04609, USA.
Briefings in bioinformatics
|June 28, 2024
概括
本研究介绍了一个基于云的学习模块,用于新的转录组装. 它教授计算工作流程和高效的云资源使用,减少对生物信息学现场计算的需求.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 基因组学就是基因组学.
背景情况:
- 生物医学研究人员需要新的技能来利用云计算资源.
- 云平台为数据访问和分析提供了强大的,具有成本效益的解决方案.
- 传统的现场计算可以成为先进生物信息学任务的障碍.
研究的目的:
- 开发一个交互式的,基于云的培训模块,用于新的转录组装.
- 为了展示Nextflow用于计算工作流程的使用.
- 教导高成本和资源效率地利用谷歌云平台服务.
主要方法:
- 在NIGMS沙盒中开发一个学习模块,用于基于云的学习平台.
- 使用de novo转录组组件作为一个生物学案例研究.
- 与谷歌云平台集成,用于交互式数据访问和分析.
主要成果:
- 该模块有效地教导Nextflow计算工作流.
- 展示了云资源在生物信息学任务中的有效使用.
- 突出了现场计算的可访问性和减少的必要性.
结论:
- 基于云的培训模块对于提高生物医学研究人员的技能是有效的.
- 通过使用云基础设施,可以成功地教授De novo转录组装.
- NIGMS沙盒为基于云的生物信息学教育提供了宝贵的资源.
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