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相关概念视频

Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

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Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
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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...
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Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

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Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
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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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RACE - Rapid Amplification of cDNA Ends02:35

RACE - Rapid Amplification of cDNA Ends

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Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific...
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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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相关实验视频

Updated: Jan 16, 2026

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
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库巴 (Cubar):一个多功能套件用于R中的codon使用偏差分析.

Mengyue Liu1, Bu Zi2, Hebin Zhang3

  • 1College of Ecology, Lanzhou University, Lanzhou 730000, China.

Genetics
|September 26, 2025
PubMed
概括

我们开发了cubar,这是一个灵活的R包,用于编码子使用偏差分析. 它解决了现有工具的局限性,为生物洞察提供了高效的分析和基因优化.

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.
  • 分子生物学分子生物学

背景情况:

  • 代码使用偏差,即同义代码的不统一使用,是关键的生物学现象.
  • 它受到突变,漂移和选择的影响,影响翻译速度,准确性和mRNA稳定性.
  • 现有的codon使用偏差分析工具缺乏灵活性和效率,未能整合最近的研究.

研究的目的:

  • 在R (cubar) 包中引入Codon使用偏差分析.
  • 提供模块化,用户友好和高效的工具来分析codon使用偏差.
  • 结合先进的功能,如滑动窗口分析,差异性使用评估和基因优化.

主要方法:

  • 开发了古巴R包的开发.
  • 实现模块化函数来计算代码使用指数.
  • 集成滑动窗分析,差异基因组分析和代码子使用优化算法.

主要成果:

  • 库巴提供了一个高度模块化和用户友好的界面,用于编码子使用偏差分析.
  • 该软件包在几分钟内有效地分析了标准笔记本电脑上的数百万个编码序列.
  • 库巴支持高级分析,包括滑动窗口,差异化使用和基因优化.
关键词:
编码序列的编码序列.codon 使用偏差科登使用指数.序列分析分析的序列分析.软件 软件 软件 软件 软件

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Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
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相关实验视频

Last Updated: Jan 16, 2026

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Strand-Specific Analysis of Proteins at Replicating DNA Strands by Enrichment and Sequencing of Protein-Associated Nascent DNA Method

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Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
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结论:

  • 库巴通过其灵活性,效率和先进功能增强了对子使用偏差的分析.
  • 这个R包解决了现有工具的局限性,促进了更深入的生物学见解.
  • 库巴使研究人员能够探索编码子使用模式,并有效地优化基因序列.