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相关概念视频

Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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相关实验视频

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A Strategy for Sensitive, Large Scale Quantitative Metabolomics
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生物和化学信息学方法用于代谢学数据分析.

Michael Witting1,2, Johannes Rainer3

  • 1Metabolomics and Proteomics Core, Helmholtz Munich, Munich, Germany. Michael.witting@helmholtz-munich.de.

Methods in molecular biology (Clifton, N.J.)
|January 15, 2025
PubMed
概括

本研究介绍了用于代谢学数据分析的R包工具,为处理质谱数据和计算光谱相似性等任务提供可定制的工作流. 这些资源有助于研究人员应对复杂的,特定于实验的数据挑战.

关键词:
配方处理处理 配方处理处理质谱 处理质谱在这个过程中,R是R.对于质谱测量的R.光谱相似性计算的计算方法

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科学领域:

  • 生物信息学和化学信息学
  • 计算生物学 计算生物学
  • 分析化学 分析化学

背景情况:

  • 代谢学数据分析涉及重复的,数据集依赖的任务,由于仪器仪表,协议和样本的变化.
  • 现有的Python和R软件包旨在为定制的工作流提供生物信息/化学信息工具.

研究的目的:

  • 介绍常见的代谢学数据分析任务的工具和示例工作流程.
  • 专注于来自RforMassSpectrometry倡议的R包提供的功能.

主要方法:

  • 使用R包用于代谢学数据处理.
  • 展示处理化学配方的工作流程.
  • 实施质谱数据操纵方法.
  • 应用碎片光谱相似性计算的技术.

主要成果:

  • 为常见的代谢学数据分析任务提供了示例工作流.
  • 展示了R包对于特定化学信息学和生物信息学挑战的有用性.
  • 通过可定制的工作流程启用定制数据分析.

结论:

  • "RforMassSpectrometry"倡议提供了有价值的工具来解决代谢学数据的异质性问题.
  • 研究人员可以利用这些R包来构建特定的工作流程,以满足他们的实验需求.
  • 本文介绍的工具有助于高效处理和分析复杂的代谢学数据集.