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Introduction to R

Introduction to R

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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Updated: Jul 28, 2025

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

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

Published on: December 7, 2021

使用R对表式元基因组学数据集进行操纵和基本分析.

Alex Coleman¹, Martin Callaghan²

¹Research Computing, IT Services, University of Leeds, Leeds, UK. A.Coleman1@leeds.ac.uk.

Methods in molecular biology (Clifton, N.J.)

|May 31, 2023

概括

本研究介绍了用于元基因组学数据分析的R编程,强调了有效和可重复的表格数据操纵和生物信息学工作流程中的基本分析工具.

科学领域:

生物信息学和计算生物学
基因组学和分子生物学

背景情况:

甲基因组学分析严重依赖于处理表格式数据集.
可复制和高效的数据工作流在现代生物研究中至关重要.

研究的目的:

提供对R编程语言的介绍,用于元基因组学数据处理.
展示R工具,以高效和可重现的操纵和分析表格式元基因组数据.

主要方法:

概述了基本的R编程概念.
展示特定的R包和用于数据处理的功能.
用R.R.来说明元基因组数据集的基本分析方法.

主要成果:

R为表格式数据处理提供了多功能工具.
R促进了计算效率高和可重复的元基因组学工作流程的开发.
对元基因组学数据集的基本数据分析可以有效地使用R进行.

结论:

R是一个强大的和可访问的工具,用于元基因组学数据分析.
使用R可以提高生物信息学管道的效率和可重复性.
这本指南是对R in metagenomics的新研究人员的起点.

关键词:

数据分析数据分析数据处理数据处理数据操纵数据操纵大基因组学数据集的数据集.在R编程语言中使用R编程语言.可重复的研究可重复.

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