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Related Concept Videos

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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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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This lesson details the instrumentation of a mass spectrometer—a physical instrument to perform mass spectrometry on analyte molecules and record the characteristic mass spectra. This is achieved via three chief functions:
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Tandem Mass Spectrometry01:21

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Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and signal-to-noise ratio for the analyte. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.
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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 electrospray 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...
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Peptide Identification Using Tandem Mass Spectrometry01:33

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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.
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Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
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Deploying Mass Spectrometric Data Analysis in the Amazon AWS Cloud Computing Environment.

Jonathan E Katz1,2

  • 1Lawrence J. Ellison Institute for Transformative Medicine of USC, Los Angeles, CA, USA. jonathan@proteowizard.org.

Methods in Molecular Biology (Clifton, N.J.)
|April 28, 2021
PubMed
Summary
This summary is machine-generated.

Deploying mass spectrometry workflows to the cloud offers scalable computing resources. This guide provides straightforward instructions for setting up virtualized computers using Amazon Web Services (AWS) for data analysis.

Keywords:
AWSCloud computingEC2Mass spectrometrySystems managementVirtual computers

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Area of Science:

  • Computational chemistry
  • Bioinformatics
  • Data science

Background:

  • Mass spectrometry workflows often require significant computational resources.
  • Accessing and managing high-performance computing can be a barrier for researchers.
  • Cloud computing offers a flexible and scalable solution for data analysis.

Purpose of the Study:

  • To provide a practical guide for deploying mass spectrometry data analysis workflows on cloud platforms.
  • To empower researchers with limited cloud computing experience to set up virtualized analysis environments.
  • To demonstrate a niche but useful application of cloud computing for mass spectrometry.

Main Methods:

  • Utilizing Amazon Web Services (AWS) for cloud instance deployment.
  • Configuring virtualized computers with adjustable resources (CPU, RAM, disk space).
  • Implementing checkpointing and restoration for virtualized systems.

Main Results:

  • Successful deployment of remotely accessible, virtualized computers for mass spectrometry data analysis.
  • Demonstration of scalable resource allocation tailored to specific analytical demands.
  • Enabling secure collaboration through preconfigured, accessible computing environments for researchers.

Conclusions:

  • Cloud-based virtual computers offer a practical and accessible solution for mass spectrometry data analysis.
  • AWS provides a robust platform for deploying and managing these computational resources.
  • This approach democratizes access to high-performance computing for a wider range of scientific applications.