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Related Concept Videos

Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

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Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
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Mass Spectrometry: Overview01:19

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Mass spectrometry is an analytical technique used to determine the molecular mass and molecular formula of a compound. The basic principle of mass spectrometry is to generate ions from the analyte molecule and measure these ion abundances against their molecular mass. One common type of ionization, known as electron ionization or EI, bombards the analyte molecules in the gas phase with high-energy electron beams. The electron beams displace an electron from the molecule and leave behind a...
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Mass Spectrometry of Amines01:15

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In mass spectroscopy, amines undergo fragmentation to give parent ions with odd molecule weights. This observed mass spectrum follows the nitrogen rule; a molecule with an odd number of nitrogen atoms produces a molecular ion with an odd molecular weight. Amines undergo fragmentation through α cleavage, producing nitrogen-containing cations—iminium ions—and alkyl radicals. Mass spectra of aromatic and cyclic aliphatic amines exhibit strong molecular ion peaks, but acyclic...
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Mass Spectrometry: Isotope Effect01:13

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Most elements exist in nature as a mixture of isotopes. The isotopes differ in weight due to their respective number of neutrons. The molecular weight of a molecule is different depending on the specific isotope of its elements involved. As a result, the mass spectrum of the molecule exhibits peaks from the same fragment at multiple positions. The positions of these mass signals depend on the mass differences between isotopes. Furthermore, the intensity of these signals is dependent on the...
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Lossless Lines01:23

Lossless Lines

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In electrical engineering, a lossless transmission line is characterized by a purely imaginary propagation constant and a resistive characteristic impedance. The ABCD parameters, which describe the relationship between the input and output voltages and currents, indicate an equivalent π circuit with an imaginary series impedance and a shunt admittance. This results in a transmission line that, when the product of the phase constant (beta) and the length of the line is less than pi, exhibits...
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MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

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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...
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Updated: Jan 22, 2026

Semi-Quantitative Analysis of Peptidoglycan by Liquid Chromatography Mass Spectrometry and Bioinformatics
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MassComp, a lossless compressor for mass spectrometry data.

Ruochen Yang1, Xi Chen2, Idoia Ochoa3

  • 1Electrical Engineering Department, University of Southern California, Los Angeles, CA, USA.

BMC Bioinformatics
|July 3, 2019
PubMed
Summary
This summary is machine-generated.

MassComp, a new lossless data compressor, significantly reduces the storage size of mass spectrometry (MS) data by an average of 46%, aiding biological research and data dissemination.

Keywords:
Lossless compressionMass spectrometryStorage

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Area of Science:

  • Proteomics and Metabolomics
  • Bioinformatics
  • Data Science

Background:

  • Mass spectrometry (MS) is crucial for biological research, generating vast datasets.
  • Current MS data storage is uncompressed, leading to high costs and dissemination challenges.
  • Efficient data representation is essential for managing and sharing large MS datasets.

Purpose of the Study:

  • To develop an efficient, lossless compression algorithm for mass spectrometry data.
  • To reduce the storage footprint and facilitate the dissemination of MS data.

Main Methods:

  • Development of MassComp, a C++ based lossless compressor.
  • Optimization for numerical (m/z)-intensity pairs prevalent in MS data.
  • Testing MassComp on diverse MS datasets and comparing it with general and specialized compressors.

Main Results:

  • MassComp achieved an average 46% size reduction for numerical MS data, with reductions up to 89%.
  • It outperformed gzip by over 27% and FPC by 40% on average.
  • Tested on MassIVE repository files, MassComp provided an average 59% size reduction.

Conclusions:

  • MassComp significantly reduces the storage requirements for MS data.
  • Specialized compression algorithms offer substantial benefits for omics data.
  • MassComp aids in lessening storage burdens and improving the exchange of omics data.