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相关概念视频

MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...
Mass Analyzers: Overview01:13

Mass Analyzers: Overview

The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
Mass Analyzers: Common Types01:19

Mass Analyzers: Common Types

The quadrupole mass analyzer consists of four cylindrical metal rods arranged in a diamond carrying a DC voltage and a radio-frequency AC voltage. The motion of ions through the quadrupole depends on the field strength, causing only ions of a certain m/z to resonate successfully and strike the detector at a given field strength. Though the transmission rate for these analyzers is high, the exact elemental composition of the sample is not determined because of low resolution; however, they are...
Performing a Simple Data Analysis using MS-Excel Function01:17

Performing a Simple Data Analysis using MS-Excel Function

Microsoft Excel offers a suite of functions and tools ideal for statistical analysis, making it accessible to students and researchers. This article outlines fundamental Excel functions pivotal for data analysis.
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...
Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
Manipulation and Analysis01:21

Manipulation and Analysis

GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...

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相关实验视频

Updated: Jun 22, 2026

Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data
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SMAnalyst:用于空间代谢数据分析和注释的Web服务器.

Zhanlong Mei1, Xiaolian Ning2, Haoke Deng1

  • 1BGI Genomics, Shenzhen 518083, China.

Biomolecules
|November 27, 2025
PubMed
概括
此摘要是机器生成的。

SMAnalyst是一个新的开源平台,简化了空间代谢学分析. 它集成了质量控制,代谢物识别和差异分析,使复杂的数据可访问.

关键词:
差异分析的差异分析.代谢产物的注释.质量控制质量控制质量控制空间代谢学 空间代谢学发现空间模式的发现这是一个基于Web的平台.

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科学领域:

  • *空间代谢学及其在理解组织代谢异质性方面的作用.

背景情况:

  • *目前的空间代谢学分析受到碎片化的工具和缺乏集成的,开源的GUI软件的阻碍.
  • * 缺少一个全面的工作流程,包括质量控制,预处理,识别,模式和差异分析.

研究的目的:

  • * 开发SMAnalyst,一个集成的,开源的,基于Web的空间代谢学数据分析平台.
  • * 提供一个用户友好的GUI,降低复杂的空间代谢学工作流程的进入障碍.

主要方法:

  • * 开发一个整合平台,巩固多维数据质量评估.
  • * 实施基于质量准确性,同位素相似性和引证证据的代谢物注释评分系统.
  • *包括二维空间模式发现 (代谢物联合表达,像素聚类) 和灵活的差异分析.

主要成果:

  • *SMAnalyst提供了一个统一的解决方案,消除了对工具切换和高级计算技能的需求.
  • * 该平台在小鼠大脑数据集上成功测试,有效处理大规模数据 (>14,000像素,>3000离子峰值).
  • * 在多维数据质量评估,代谢物注释和空间模式发现方面表现出能力.

结论:

  • *SMAnalyst有效地解决了空间代谢学综合分析解决方案的关键缺口.
  • * 该平台显著降低了分析障碍,促进了空间代谢学更广泛的采用.
  • * 提供了一个全面的,用户友好的工具来分析生物组织中的代谢异质性.