Precursor Intensity-Based Label-Free Quantification Software Tools for Proteomic and Multi-Omic Analysis within the Galaxy Platform

Precursor Intensity-Based Label-Free Quantification Software Tools for Proteomic and Multi-Omic Analysis within the Galaxy Platform

For mass spectrometry-based peptide and protein quantification, label-free quantification (LFQ) based on precursor mass peak (MS1) intensities is considered reliable due to its dynamic range, reproducibility, and accuracy. LFQ enables peptide-level quantitation, which is useful in proteomics (analyz...

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Bibliographic Details
Main Authors: Subina Mehta, Caleb W. Easterly, Ray Sajulga, Robert J. Millikin, Andrea Argentini, Ignacio Eguinoa, Lennart Martens, Michael R. Shortreed, Lloyd M. Smith, Thomas McGowan, Praveen Kumar, James E. Johnson, Timothy J. Griffin, Pratik D. Jagtap
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Proteomes
Subjects:
proteomics
label-free quantification
galaxy framework
workflows
Online Access:https://www.mdpi.com/2227-7382/8/3/15

Internet

https://www.mdpi.com/2227-7382/8/3/15

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