MMS2plot: An R Package for Visualizing Multiple MS/MS Spectra for Groups of Modified and Non‐Modified Peptides. Issue 15 (26th July 2020)

• Record Type: Journal Article
• Authors: Ming, Liya; Zou, Yang; Zhao, Yiming; Zhang, Luna; He, Ningning; Chen, Zhen; Li, Shawn S.‐C.; Li, Lei
• Is Part Of: Proteomics. Volume 20:Issue 15/16(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-07-26
• Subjects: bioinformatics -- mass spectrometry liquid chromatography‐MS/MS -- peptide‐spectrum matches -- post‐translational modification analysis -- visualization; Proteins -- Separation -- Periodicals; Bioinformatics -- Periodicals; Proteomics -- Periodicals; Genomes -- Periodicals; Molecular genetics -- Periodicals; 572.605
• DOI: 10.1002/pmic.202000061
• Languages: English
• ISSNs: 1615-9853

Abstract

Abstract: A large number of post‐translational modifications (PTMs) in proteins are buried in the unassigned mass spectrometric (MS) spectra in shot‐gun proteomics datasets. Because the modified peptide fragments are low in abundance relative to the corresponding non‐modified versions, it is critical to develop tools that allow facile evaluation of assignment of PTMs based on the MS/MS spectra. Such tools will preferably have the ability to allow comparison of fragment ion spectra and retention time between the modified and unmodified peptide pairs or group. Herein, MMS2plot, an R package for visualizing peptide‐spectrum matches (PSMs) for multiple peptides, is described. MMS2plot features a batch mode and generates the output images in vector graphics file format that facilitate evaluation and publication of the PSM assignment. MMS2plot is expected to play an important role in PTM discovery from large‐scale proteomics datasets generated by liquid chromatography‐MS/MS. The MMS2plot package is freely available at https://github.com/lileir/MMS2plot under the GPL‐3 license.