在元基因组学数据中进行质量控制
Abraham Gihawi1, Ryan Cardenas1, Rachel Hurst1
1Bob Champion Research & Education Building, Norwich Medical School, University of East Anglia, Norwich, UK.
Methods in molecular biology (Clifton, N.J.)
|May 31, 2023
概括
质量控制对于分析元基因组学数据至关重要. 本指南涵盖了研究设计,使用bash和Snakemake处理数据,以及用于可再生微生物组研究的基于R的分析.
科学领域:
- 微生物学 微生物学
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 超基因组学实验越来越常见,产生大量数据集.
- 有效的处理和质量控制对于可靠的见解至关重要.
- 独特的考虑源于研究设计和潜在的混因素.
研究的目的:
- 概述元基因组学数据的基本质量控制原则.
- 引入数据处理和分析的实用方法.
- 引导研究人员在研究背景下解释分类学结果.
主要方法:
- 探索研究设计和元基因组学中的混因素.
- 实施一般序列数据质量控制.
- 使用bash和Snakemake (Python) 开发数据处理管道.
- 在R中对微生物组数据进行统计分析,以确定关系和差异.
- 对序列对齐的命令行查询.
主要成果:
- 展示元基因组学质量控制和可复制性的基本原则.
- 介绍可重复的数据处理工作流程.
- 通过微生物组数据分析技术在R.
- 关于对分类学发现和序列对齐进行上下文化指导.
结论:
- 强有力的质量控制是有效的元基因组学研究的基础.
- 可复制的工作流提高了生物信息学分析的可靠性.
- 仔细的数据分析和解释是从元基因组数据中提取有意义的生物学见解的关键.
相关概念视频
01:05Quality Control
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Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
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01:19Quality Assurance
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Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
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