scholarly journals Fast Elastic Peak Detection for Mass Spectrometry Data Mining

2012 ◽  
Vol 24 (4) ◽  
pp. 634-648 ◽  
Author(s):  
Xin Zhang ◽  
Dennis E. Shasha ◽  
Yang Song ◽  
Jason T. L. Wang
Keyword(s):  
Mass Spectrometry ◽  
Data Mining ◽  
Peak Detection ◽  
Mass Spectrometry Data ◽  
Elastic Peak

A collection of open source applications for mass spectrometry data mining

PROTEOMICS ◽  
2014 ◽  
Vol 14 (20) ◽  
pp. 2275-2279 ◽  
Author(s):  
Óscar Gallardo ◽  
David Ovelleiro ◽  
Marina Gay ◽  
Montserrat Carrascal ◽  
Joaquin Abian
Keyword(s):  
Mass Spectrometry ◽  
Data Mining ◽  
Open Source ◽  
Mass Spectrometry Data

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.

An automated method for peak detection and matching in large gas chromatography-mass spectrometry data sets

2006 ◽  
Vol 20 (8-10) ◽  
pp. 325-340 ◽  
Author(s):  
Sarah J. Dixon ◽  
Richard G. Brereton ◽  
Helena A. Soini ◽  
Milos V. Novotny ◽  
Dustin J. Penn
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Peak Detection ◽  
Mass Spectrometry Data ◽  
Gas Chromatography Mass Spectrometry ◽  
Data Sets ◽  
Automated Method ◽  
Chromatography Mass Spectrometry
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