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相关概念视频

Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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相关实验视频

Updated: Jul 5, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
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一个包装为FAIR数字对象的多omics数据分析工作流.

Anna Niehues1,2, Casper de Visser1, Fiona A Hagenbeek3,4

  • 1Department of Medical BioSciences, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.

GigaScience
|January 13, 2024
PubMed
概括
此摘要是机器生成的。

研究人员开发了一个FAIR (可查找,可访问,可互操作和可重复使用) 多omics数据分析工作流. 这种计算工作流程作为FAIR数字对象共享,有助于研究可重现性和数据重用.

关键词:
这是公平的,公平的.在FDO的FDO.这就是RO-Crate.这些都是元数据.多种主题的多种主题.工作流的工作流.

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Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software
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Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software

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相关实验视频

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Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
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Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software
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科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 数据科学数据科学数据科学

背景情况:

  • 实施FAIR (可查找,可访问,可互操作,可重复使用) 数据原则可以提高知识的发现,可重复性和数据的重复使用.
  • 研究软件的FAIR原则促进计算工作流程的可发现性和可重复使用性.
  • FAIR 数字对象促进了研究对象的整合,包括计算工作流.

研究的目的:

  • 开发和共享一个多主题的数据分析工作流程,遵守FAIR原则.
  • 为计算工作流程展示FAIR原则的实际应用.
  • 为多omics分析工作流创建一个FAIR数字对象.

主要方法:

  • 使用Nextflow开发了一种多omics数据分析工作流程,其中包含软件依赖性的容器化.
  • 应用了软件开发的最佳实践,包括版本控制,文档和许可.
  • 工作流被用语义元数据描述,作为一个研究对象箱包装,并在Workflow.Hub上发布.

主要成果:

  • 成功创建和共享了一个代表多omics数据分析工作流的FAIR数字对象.
  • 该工作流旨在调查多omics数据和儿童外部化行为之间的共享模式.
  • 实施证明了对研究软件的FAIR原则的遵守.

结论:

  • 在采用计算工作流程的 FAIR 实践中分享经验可以指导其他研究人员.
  • 开发的FAIR数字对象是实施OMIC数据分析中的FAIR原则的实际例子.
  • 这项工作促进采用FAIR实践,以提高研究可重复性和生物信息学数据共享.