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相关概念视频

Protein Folding Quality Check in the RER01:29

Protein Folding Quality Check in the RER

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ER is the primary site for the maturation and folding of soluble and transmembrane secretory proteins. The calnexin cycle is a specific chaperone system that folds and assesses the confirmation of N-glycosylated proteins before they can exit the ER lumen. The primary players of this quality check pipeline are the lectins, ER-resident chaperones, and a glucosyl transferase enzyme. In case the calnexin system in the lumen fails to salvage a misfolded protein, it is transported to the cytoplasm...
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Interpreting R Charts01:22

Interpreting R Charts

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R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
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Ribosome Profiling02:24

Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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相关实验视频

Updated: Jul 20, 2025

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
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ggpicrust2:一个R包用于PICRUSt2预测的功能配置分析和可视化.

Chen Yang1, Jiahao Mai1, Xuan Cao2

  • 1Department of Biostatistics, Southern Medical University, Guangzhou 510515, China.

Bioinformatics (Oxford, England)
|August 1, 2023
PubMed
概括
此摘要是机器生成的。

研究人员现在可以使用R包ggpicrust2.2分析微生物组的功能途径. 该工具增强了16S rRNA数据的差异丰度分析,为微生物群落提供了更深入的功能洞察.

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科学领域:

  • 微生物组研究的研究.
  • 生物信息学是一种生物信息学.
  • 计算生物学是一种计算生物学.

背景情况:

  • 微生物组研究正在从组成转向功能.
  • 肠道微生物组的功能会影响炎症和免疫反应.
  • 16S rRNA 测序提供了成分,但并没有直接提供功能基因信息.

研究的目的:

  • 介绍ggpicrust2,一个用于分析微生物组功能概况的R包.
  • 为了使从16S rRNA数据中预测的路径丰度的差异丰度测试.
  • 为研究人员提供一种工具,以深入分析微生物群落的功能.

主要方法:

  • 关于ggpicrust2 R包的开发.
  • 使用PICRUSt2 (通过重建未观察到的状态来对社区进行遗传学研究) 进行功能预测.
  • 实现差异丰度分析并创建可视化.

主要成果:

  • ggpicrust2允许对预测的功能途径进行广泛的差异丰度分析.
  • 该包产生了视觉上有吸引力的输出,以突出功能信号.
  • 研究人员可以更深入地了解微生物社区的功能.

结论:

  • ggpicrust2解决了对分析微生物组功能数据的强大工具的需求.
  • 通过提供先进的分析能力,R包促进了可发表的研究.
  • ggpicrust2增强了从16S rRNA测序中获得的微生物组功能概况的解释.