Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Design Example: Setting a Curve Using Design Data01:09

Design Example: Setting a Curve Using Design Data

251
Designing and plotting a curve using field data requires precise calculations and execution. A horizontal curve with a radius of 200 meters and an intersection angle of 20 degrees is established using the method of perpendicular offsets from the long chord. The long chord, which spans between the curve's endpoints, is calculated to be 69.46 meters in length. To maintain accuracy in plotting, intervals of 3 meters are selected along the chord.The engineer determines the offset distances for each...
251
Mass Spectrometry: Overview01:19

Mass Spectrometry: Overview

9.0K
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...
9.0K
Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

2.6K
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...
2.6K
Mass Spectrometry of Amines01:15

Mass Spectrometry of Amines

5.4K
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...
5.4K
Mass Spectrometry: Isotope Effect01:13

Mass Spectrometry: Isotope Effect

4.3K
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...
4.3K
Overview of Microsoft Excel as a Data Analysis Tool01:13

Overview of Microsoft Excel as a Data Analysis Tool

1.7K
Microsoft Excel is a cornerstone tool for data analysis and statistical operations, offering a wide array of functionalities to manage, analyze, and visualize data efficiently. Recognized for its versatility, Excel facilitates the performance of basic to complex statistical operations, serving as an indispensable asset for analysts, researchers, and students alike. Excel's significance in data analysis emanates from its spreadsheet environment, where data can be organized in rows and...
1.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

ESCRT-0 regulates AMPA receptor currents and Ca<sup>2+</sup>- dependent signaling.

bioRxiv : the preprint server for biology·2026
Same author

Vaccination elicits HIV broadly neutralizing antibodies in primates.

Nature·2026
Same author

Translating Innovation to Clinic: End-to-End Bioprocess Development and cGMP Manufacturing of N332-GT5 HIV Vaccine Candidate for First-in-Human Trials HVTN144.

bioRxiv : the preprint server for biology·2026
Same author

Mass Spectrometry Imaging in ACS Journals.

ACS measurement science au·2026
Same author

Rapid Histone Post-Translational Modification Analysis Using Alternative Proteases and Tandem Mass Tags.

Analytical chemistry·2026
Same author

Diverse germline-targeting HIV Env immunogens select for distinct mutations in the same knock-in mice B cell receptors.

Nature communications·2026

Related Experiment Video

Updated: Feb 13, 2026

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
07:01

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Published on: August 19, 2025

1.0K

PACOM: A Versatile Tool for Integrating, Filtering, Visualizing, and Comparing Multiple Large Mass Spectrometry

Salvador Martínez-Bartolomé1,2, J Alberto Medina-Aunon1, Miguel Ángel López-García1

  • 1Proteomics Laboratory, National Center for Biotechnology, CSIC , Madrid 28049 , Spain.

Journal of Proteome Research
|March 21, 2018
PubMed
Summary

A new tool, Proteomics Assay COMparator (PACOM), helps researchers integrate and compare multiple proteomics datasets. This facilitates quality control and error detection in mass-spectrometry-based proteomics experiments.

Keywords:
GUIHUPO-PSIJava APIMIAPEchart generationdata filteringdata visualizationproteomics data comparisonproteomics data integration

More Related Videos

A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions
09:00

A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions

Published on: April 18, 2025

1.4K
Semi-Quantitative Analysis of Peptidoglycan by Liquid Chromatography Mass Spectrometry and Bioinformatics
09:09

Semi-Quantitative Analysis of Peptidoglycan by Liquid Chromatography Mass Spectrometry and Bioinformatics

Published on: October 13, 2020

5.1K

Related Experiment Videos

Last Updated: Feb 13, 2026

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
07:01

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Published on: August 19, 2025

1.0K
A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions
09:00

A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions

Published on: April 18, 2025

1.4K
Semi-Quantitative Analysis of Peptidoglycan by Liquid Chromatography Mass Spectrometry and Bioinformatics
09:09

Semi-Quantitative Analysis of Peptidoglycan by Liquid Chromatography Mass Spectrometry and Bioinformatics

Published on: October 13, 2020

5.1K

Area of Science:

  • Proteomics
  • Bioinformatics
  • Computational Biology

Background:

  • Mass-spectrometry-based proteomics generates large datasets.
  • Public proteomics data repositories are growing rapidly.
  • Tools for integrating and comparing diverse proteomics datasets are needed for quality control and reanalysis.

Purpose of the Study:

  • To introduce Proteomics Assay COMparator (PACOM), a Java stand-alone tool.
  • To enable import, combination, and simultaneous comparison of multiple proteomics experiments.
  • To facilitate data integrity checks and quality verification in proteomics workflows.

Main Methods:

  • PACOM is a Java stand-alone application.
  • It imports, combines, and compares numerous proteomics experiments.
  • Utilizes graphical representations and data filters for visual assessment.

Main Results:

  • PACOM allows users to detect errors in proteomics workflows.
  • Enables easy comparison and integration of diverse datasets.
  • Visually assesses data quality and reproducibility.

Conclusions:

  • PACOM is a flexible and user-friendly tool for daily use in proteomics laboratories.
  • It aids in ensuring the integrity and quality of proteomic data.
  • Supports the evaluation, inspection, and reanalysis of large-scale proteomics datasets.