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相关概念视频

Overview of Minitab01:11

Overview of Minitab

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Minitab is a statistical software package designed for data analysis. With its origins in the 1970s and development at Pennsylvania State University, Minitab has grown significantly in its capabilities and applications. It plays a crucial role in quality management projects, especially in Six Sigma initiatives, by offering tools for process improvement and statistical analysis. Minitab's significance lies in its user-friendly interface, making complex statistical analysis accessible to...
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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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Introduction to R01:11

Introduction to R

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R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's...
262
Interpreting R Charts01:22

Interpreting R Charts

63
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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Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.4K
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
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Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

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Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
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相关实验视频

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Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
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TOmicsVis:一个全合一的转录分析和可视化R包,配有Shinyapp界面.

Ben-Ben Miao1, Wei Dong2, Zhao-Fang Han1

  • 1State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences Xiamen University Xiamen China.

iMeta
|June 13, 2024
PubMed
概括

研究人员现在可以很容易地分析和可视化转录组数据TOmicsVis,一个R包简化复杂的多组实验. 该工具整合了多个R包的功能,以简化生物机制的发现.

关键词:
数据可视化数据可视化不同的表达方式,不同的表达方式.丰富分析是一种丰富分析.多组RNA-Seqq是什么意思闪耀的app 闪耀的app

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科学领域:

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

背景情况:

  • 转录组分析对于了解物种间的生物机制至关重要.
  • 现有的转录学R包缺乏统一的集成和用户友好的界面来进行复杂的分析.

研究的目的:

  • 开发一个全面的R包,TOmicsVis (转录学可视化),用于简化转录学数据分析和可视化.
  • 为多组转录组项目提供一个用户友好的解决方案,集成多个R包的功能.

主要方法:

  • 开发了TOmicsVis,这是一个利用其他46个R包的R包.
  • 实现了40个功能,涵盖样本统计,特征分析,微分表达式,高级分析,GO和KEGG丰富以及表操作.
  • 启用本地和在线 (Shiny app) 执行,以提高可访问性.

主要成果:

  • TOmicsVis提供了一个统一的平台,用于转录学分析和可视化.
  • 该套件简化了多组转录项目,具有多种分析功能.
  • 为拥有和没有编码专业知识的研究人员提供可访问的工具.

结论:

  • TOmicsVis提高了转录学数据分析的效率和可访问性.
  • 便于快速监测实验数据动态和快速探索转录学数据.
  • 使研究人员能够更有效地揭示生物机制.