C&EN Webinars - Defining Complex Samples: Novel Software Tools for High Definition Mass Spectrometry Data Analysis

2012 ◽  
Vol 90 (31) ◽  
pp. 64
Keyword(s):  
Mass Spectrometry ◽  
Data Analysis ◽  
Software Tools ◽  
Mass Spectrometry Data ◽  
High Definition ◽  
Complex Samples

scholarly journals CLMSVault: A Software Suite for Protein Cross-Linking Mass-Spectrometry Data Analysis and Visualization

2017 ◽  
Vol 16 (7) ◽  
pp. 2645-2652 ◽  
Author(s):  
Mathieu Courcelles ◽  
Jasmin Coulombe-Huntington ◽  
Émilie Cossette ◽  
Anne-Claude Gingras ◽  
Pierre Thibault ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Data Analysis ◽  
Mass Spectrometry Data ◽  
Cross Linking ◽  
Software Suite ◽  
Protein Cross Linking

Advancements in capturing and mining mass spectrometry data are transforming natural products research

2021 ◽  
Author(s):  
Scott A. Jarmusch ◽  
Justin J. J. van der Hooft ◽  
Pieter C. Dorrestein ◽  
Alan K. Jarmusch
Keyword(s):  
Mass Spectrometry ◽  
Data Mining ◽  
Natural Products ◽  
Data Analysis ◽  
Community Participation ◽  
Mass Spectrometry Data ◽  
Metabolomics Data ◽  
Analysis Tools ◽  
Public Data ◽  
Potential Use

This review covers the current and potential use of mass spectrometry-based metabolomics data mining in natural products. Public data, metadata, databases and data analysis tools are critical. The value and success of data mining rely on community participation.

scholarly journals EXIMS: an improved data analysis pipeline based on a new peak picking method for EXploring Imaging Mass Spectrometry data

2015 ◽  
Vol 31 (19) ◽  
pp. 3198-3206 ◽  
Author(s):  
Chalini D. Wijetunge ◽  
Isaam Saeed ◽  
Berin A. Boughton ◽  
Jeffrey M. Spraggins ◽  
Richard M. Caprioli ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Data Analysis ◽  
Imaging Mass Spectrometry ◽  
Mass Spectrometry Data ◽  
Peak Picking ◽  
Analysis Pipeline ◽  
Data Analysis Pipeline ◽  
Imaging Mass Spectrometry Data

MSDA, a proteomics software suite for in-depth Mass Spectrometry Data Analysis using grid computing

PROTEOMICS ◽  
2014 ◽  
Vol 14 (9) ◽  
pp. 1014-1019 ◽  
Author(s):  
Christine Carapito ◽  
Alexandre Burel ◽  
Patrick Guterl ◽  
Alexandre Walter ◽  
Fabrice Varrier ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Data Analysis ◽  
Grid Computing ◽  
Mass Spectrometry Data ◽  
Software Suite

Mass Spectrometry Data Analysis for Early Detection of Inherited Breast Cancer

2009 ◽  
pp. 21-28
Author(s):  
Francesco Baudi ◽  
Mario Cannataro ◽  
Rita Casadonte ◽  
Francesco Costanzo ◽  
Giovanni Cuda ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Mass Spectrometry ◽  
Data Analysis ◽  
Early Detection ◽  
Mass Spectrometry Data ◽  
Inherited Breast Cancer

scholarly journals Recent advances in software tools for more generic and precise intact glycopeptide analysis

2020 ◽  
pp. mcp.R120.002090 ◽  
Author(s):  
Weiqian Cao ◽  
Mingqi Liu ◽  
Siyuan Kong ◽  
Mengxi Wu ◽  
Yang Zhang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Systematic Review ◽  
Quality Control ◽  
Software Tools ◽  
Mass Spectrometry Data ◽  
Identification Process ◽  
Advantages And Disadvantages ◽  
Recent Advances ◽  
Glycopeptide Analysis

Intact glycopeptide identification has long been known as a key and challenging barrier to the comprehensive and accurate understanding the role of glycosylation in an organism. Intact glycopeptide analysis is a blossoming field that has received increasing attention in recent years. Mass spectrometry (MS)-based strategies and relative software tools are major drivers that have greatly facilitated the analysis of intact glycopeptides, particularly intact N-glycopeptides. This manuscript provides a systematic review of the intact glycopeptide identification process using mass spectrometry data generated in shotgun proteomic experiments, which typically focus on N-glycopeptide analysis. Particular attention is paid to the software tools that have been recently developed in the last decade for the interpretation and quality control of glycopeptide spectra acquired using different MS strategies. The review also provides information about the characteristics and applications of these software tools, discusses their advantages and disadvantages, and concludes with a discussion of outstanding tools.

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