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相关概念视频

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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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: Jun 25, 2025

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
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AnVIL工作流:用于云实现的生物信息学分析管道的可运行工作流套件.

Sehyun Oh1, Kai Gravel-Pucillo1, Marcel Ramos1

  • 1City University of New York School of Public Health.

Research square
|May 27, 2024
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概括
此摘要是机器生成的。

安维尔工作流R套件简化了在安维尔平台上访问大规模基因组学数据和分析工具. 这种生物信息学工具使研究人员能够通过直接在R.中轻松执行复杂的基因组工作流,从而赋予研究人员权力.

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A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants
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A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants

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An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus
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An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus

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科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 测序技术的进步产生了大量的生物数据集.
  • 基因组数据科学分析,可视化和信息实验室空间 (AnVIL) 提供基于云的基因组数据和工具访问.
  • 在AnVIL上执行复杂的生物信息工作流程对于缺乏广泛生物信息专业知识的研究人员来说可能具有挑战性.

研究的目的:

  • 引入AnVILWorkflow R包,以简化AnVIL工作流执行.
  • 使研究人员能够从R环境中方便地运行生物信息学工作流.
  • 降低利用AnVIL资源用于基因组学数据分析的障碍.

主要方法:

  • 开发AnVIL工作流R套件的开发.
  • 实现用于云环境设置,数据格式化,工作流提交和结果检索的直观功能.
  • 通过包括大量RNA-seq,元基因组学和数字病理图像处理在内的用例来证明实用性.

主要成果:

  • AnVILWorkflow简化了AnVIL上的生物信息工作流程的执行.
  • 该套件促进了R和非R工具的无集成,用于可重复性分析.
  • 研究人员可以在没有直接管理开销的情况下访问可扩展的计算资源.
  • 提供了用户友好的数据和工作流程浏览.

结论:

  • 安维尔工作流大大降低了研究人员利用安维尔能力的障碍.
  • 该方案使更广泛的研究社区能够利用先进的基因组学工具和数据集.
  • 它特别有利于探索性分析和使用既定的工作流程进行批量处理.
  • 通过生物导体和GitHub提供AnVILWorkflow R软件包.