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Related Concept Videos

Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in value between...
Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
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.
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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...

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Related Experiment Video

Updated: May 15, 2026

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
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Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

Peakmatch: a simple and robust method for peak list matching.

Lena Buchner1, Elena Schmidt, Peter Güntert

  • 1Institute of Biophysical Chemistry, Center for Biomolecular Magnetic Resonance, and Frankfurt Institute for Advanced Studies, Goethe University Frankfurt am Main, Max-von-Laue-Str. 9, 60438 Frankfurt am Main, Germany.

Journal of Biomolecular NMR
|January 19, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces Peakmatch, a tool ensuring consistent chemical shift referencing in NMR peak lists. It reliably matches unassigned peak lists, improving data quality for structure calculation.

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Area of Science:

  • Nuclear Magnetic Resonance (NMR) Spectroscopy
  • Computational Chemistry
  • Structural Biology

Background:

  • NMR peak lists are crucial inputs for automated assignment and structure calculation.
  • Inconsistent chemical shift referencing across NMR datasets hinders accurate analysis.
  • Standardizing referencing is essential for reliable downstream processing.

Purpose of the Study:

  • To develop a robust tool for self-consistent chemical shift referencing in NMR peak lists.
  • To enable reliable matching of unassigned peak lists for improved data quality.
  • To facilitate accurate input data preparation for NMR structure determination.

Main Methods:

  • The Peakmatch algorithm was developed to match NMR peak lists without requiring prior assignment.
  • Chemical shift referencing offsets are determined by optimizing an assignment-free match score.
  • Optimization employs either a complete grid search or downhill simplex methods.
  • The algorithm supports multi-dimensional NMR spectra with at least two dimensions.

Main Results:

  • Peakmatch successfully achieved self-consistency of chemical shift referencing among multiple peak lists.
  • The algorithm demonstrated reliable matching for various NMR spectral types.
  • Peakmatch accurately aligned simulated peak lists with chemical shift data.
  • The tool proved effective even when peak lists were unassigned.

Conclusions:

  • Peakmatch offers a simple and robust solution for chemical shift referencing inconsistencies in NMR.
  • The algorithm enhances the reliability of input data for automated NMR analysis.
  • Routine application of Peakmatch can optimize datasets before structure calculation.
  • This tool is valuable for improving the efficiency and accuracy of NMR-based structure elucidation.