Year of Award
2020
Document Type
Thesis
Degree Type
Master of Science (MS)
Degree Name
Computer Science
Department or School/College
Computer Science
Committee Chair
Rob Smith
Commitee Members
Rob Smith, Michael Cassens, Douglas Brinkerhoff
Keywords
Mass Spectrometry, Ground Truth Data
Publisher
University of Montana
Subject Categories
Other Computer Sciences | Software Engineering
Abstract
Very few quantitative evaluations exist for precursor mass spectrometry data due to the lack of tools for enabling the manual feature finding necessary to generate this data. Other lacks the ability to capture, edit, save, and view precursor mass spectrometry data. We present JS-MS 2.0, a software suite that provides a dependency-free, browser-based, one click, cross-platform solution for creating precursor ground truth. The software retains the first version’s capacity for loading, viewing, and navigating MS1 data in 2- and 3-D, and adds tools for capturing, editing, saving and viewing isotopic envelope and extracted isotopic chromatogram features. The software can also be used to view and explore the results of feature finding algorithms. JS-MS 2.0 enables faster creation and inspection of precursor mass spectrometry ground truth data. It is publicly available with a GPL 2.0 license at github.com/optimusmoose/jsms.
Recommended Citation
Henning, Jessica L. and Smith, Rob, "Generating Peptide Mass Spectrometry Ground Truth Data" (2020). Graduate Student Theses, Dissertations, & Professional Papers. 11528.
https://scholarworks.umt.edu/etd/11528
© Copyright 2020 Jessica L. Henning and Rob Smith