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Related Concept Videos

Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and the...
Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...

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Updated: Jun 8, 2026

PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis
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SpectroPipeR-a streamlining post Spectronaut® DIA-MS data analysis R package.

Stephan Michalik1, Elke Hammer1,2, Leif Steil1

  • 1Department Functional Genomics, Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, MV 17475, Germany.

Bioinformatics (Oxford, England)
|February 22, 2025
PubMed
Summary
This summary is machine-generated.

SpectroPipeR is a new R package that simplifies proteome data analysis for Spectronaut® DIA-MS data. It automates complex bioinformatics tasks, improving efficiency and standardization in mass spectrometry research.

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Area of Science:

  • Proteomics
  • Bioinformatics
  • Data Analysis

Background:

  • Proteome studies face challenges in downstream data analysis due to limited bioinformatics resources and method variations.
  • Standardized and efficient analysis pipelines are crucial for reproducible proteomic research.

Purpose of the Study:

  • To develop a comprehensive and standardized R package for streamlining Spectronaut® DIA-MS data analysis.
  • To automate key bioinformatics tasks in proteomic data processing.

Main Methods:

  • Development of SpectroPipeR, an R package available on GitHub.
  • Implementation of automated workflows for XIC plots, ID rate summary, normalization, and batch correction.
  • Integration of relative protein quantification, multivariate, and statistical analyses.

Main Results:

  • SpectroPipeR automates multiple downstream proteomic data analysis steps.
  • The package generates interactive HTML reports for enhanced data visualization and ELN integration.
  • Provides a standardized pipeline for Spectronaut® DIA-MS data analysis.

Conclusions:

  • SpectroPipeR addresses common challenges in proteomic data analysis.
  • The R package offers a robust, automated, and standardized solution for Spectronaut® DIA-MS data.
  • Facilitates efficient and reproducible proteomic research through streamlined bioinformatics workflows.