Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Introduction to R01:11

Introduction to R

422
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...
422
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.6K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
13.6K
Interpreting R Charts01:22

Interpreting R Charts

86
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...
86
Genomics02:02

Genomics

36.5K
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...
36.5K
Genetic Screens02:46

Genetic Screens

5.0K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.0K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

630
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...
630

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

miRTargetLink 2.0-interactive miRNA target gene and target pathway networks.

Nucleic acids research·2021
Same author

Metabolomic homeostasis shifts after callus formation and shoot regeneration in tomato.

PloS one·2017
查看所有相关文章

相关实验视频

Updated: Jul 23, 2025

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:50

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

287

otargen:基于GraphQL的R包,用于从Open Targets Genetics获取和处理清晰的数据.

Amir Feizi1, Kamalika Ray1

  • 1Bioinformatics Department, OMass Therapeutics, Oxford Business Park, ARC, Oxford OX4 2GX, United Kingdom.

Bioinformatics (Oxford, England)
|July 19, 2023
PubMed
概括

otargen R包简化了访问开放目标遗传学数据,使变异优先级和药物标识更容易. 这个工具简化了研究人员的遗传数据检索,加速了目标发现管道.

科学领域:

  • 遗传学 是一个遗传学.
  • 生物信息学是一种生物信息学.
  • 药物基因组学 药物基因组学

背景情况:

  • 开放的目标遗传学提供了以变异为中心的统计证据,用于优先考虑因果变异和识别药物标.
  • GraphQL技术促进了高效的数据查询,但对R和Python用户来说,在数据检索和处理方面存在挑战.
  • 复杂的GraphQL查询和嵌套的JSON输出需要大量的努力来将遗传数据集成到目标发现工作流中.

研究的目的:

  • 开发一个开源的R包,简化从开放目标遗传学门户网站检索和分析数据.
  • 为R用户提供了一种简单的方法来访问遗传信息,避免复杂的GraphQL脚本.
  • 促进将遗传数据整合到数据驱动的药物目标发现管道中.

主要方法:

  • 开源R包"otargen"的开发.
  • 实现功能,涵盖在开放目标遗传学门户网站上可用的所有查询类型.
  • 函数的设计,以整洁的表格格式返回数据,以方便分析.
  • 包括用于数据可视化的绘图函数.

主要成果:

  • "targen" R包提供了一种简化,单行代码解决方案,用于访问开放目标遗传学数据.
  • 用户可以以整洁的格式检索遗传数据,绕过复杂的GraphQL查询和JSON处理.

更多相关视频

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.2K
A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.3K

相关实验视频

Last Updated: Jul 23, 2025

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:50

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

287
Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.2K
A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.3K
  • 该包包括方便的绘图功能,用于可视化复杂的遗传数据集.
  • 简化数据访问加速了识别潜在毒品目标的过程.
  • 结论:

    • "目标基因"显著降低了R用户利用开放目标遗传学数据所需的复杂性和时间.
    • 该方案加强了将遗传证据整合到药物发现管道中.
    • 这种开源工具使得更广泛的研究社区能够获得有价值的遗传见解.