El-MAVEN: A Fast, Robust, and User-Friendly Mass Spectrometry Data Processing Engine for Metabolomics

2019 ◽  
pp. 301-321 ◽  
Author(s):  
Shubhra Agrawal ◽  
Sahil Kumar ◽  
Raghav Sehgal ◽  
Sabu George ◽  
Rishabh Gupta ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Data Processing ◽  
Mass Spectrometry Data ◽  
User Friendly ◽  
Processing Engine

Mass Spectrometry Data Processing

Metabolomics ◽  
2019 ◽  
pp. 73-99
Author(s):  
Steffen Neumann ◽  
Oscar Yanes ◽  
Roland Mumm ◽  
Pietro Franceschi
Keyword(s):  
Mass Spectrometry ◽  
Data Processing ◽  
Mass Spectrometry Data

Symbolic Aggregate Approximation Improves Gap Filling in High-Resolution Mass Spectrometry Data Processing

2020 ◽  
Vol 92 (15) ◽  
pp. 10425-10432
Author(s):  
Erik Müller ◽  
Carolin Elisabeth Huber ◽  
Werner Brack ◽  
Martin Krauss ◽  
Tobias Schulze
Keyword(s):  
Mass Spectrometry ◽  
High Resolution ◽  
Data Processing ◽  
High Resolution Mass Spectrometry ◽  
Mass Spectrometry Data ◽  
Gap Filling ◽  
Symbolic Aggregate Approximation ◽  
High Resolution Mass ◽  
Resolution Mass

scholarly journals MzJava: An open source library for mass spectrometry data processing

2015 ◽  
Vol 129 ◽  
pp. 63-70 ◽  
Author(s):  
Oliver Horlacher ◽  
Frederic Nikitin ◽  
Davide Alocci ◽  
Julien Mariethoz ◽  
Markus Müller ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Data Processing ◽  
Open Source ◽  
Mass Spectrometry Data

HaloSeeker 1.0: A User-Friendly Software to Highlight Halogenated Chemicals in Nontargeted High-Resolution Mass Spectrometry Data Sets

2019 ◽  
Vol 91 (5) ◽  
pp. 3500-3507 ◽  
Author(s):  
Alexis Léon ◽  
Ronan Cariou ◽  
Sébastien Hutinet ◽  
Julie Hurel ◽  
Yann Guitton ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
High Resolution ◽  
High Resolution Mass Spectrometry ◽  
Mass Spectrometry Data ◽  
Data Sets ◽  
High Resolution Mass ◽  
User Friendly ◽  
Resolution Mass

Wavelet-based procedures for proteomic mass spectrometry data processing

2007 ◽  
Vol 52 (1) ◽  
pp. 211-220 ◽  
Author(s):  
Shuo Chen ◽  
Don Hong ◽  
Yu Shyr
Keyword(s):  
Mass Spectrometry ◽  
Data Processing ◽  
Mass Spectrometry Data

scholarly journals CEDAR, an online resource for the reporting and exploration of complexome profiling data

2020 ◽  
Author(s):  
Joeri van Strien ◽  
Alexander Haupt ◽  
Uwe Schulte ◽  
Hans-Peter Braun ◽  
Alfredo Cabrero-Orefice ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Protein Complexes ◽  
Mass Spectrometry Data ◽  
Analysis Tool ◽  
Data Resource ◽  
Online Resource ◽  
Comprehensive Information ◽  
Central Resource ◽  
Rest Api ◽  
User Friendly

Complexome profiling is an emerging 'omics approach that systematically interrogates the composition of protein complexes (the complexome) of a sample, by combining biochemical separation of native protein complexes with mass-spectrometry based quantitation proteomics. The resulting fractionation profiles hold comprehensive information on the abundance and composition of the complexome, and have a high potential for reuse by experimental and computational researchers. However, the lack of a central resource that provides access to these data, reported with adequate descriptions and an analysis tool, has limited their reuse. Therefore, we established the ComplexomE profiling DAta Resource (CEDAR, www3.cmbi.umcn.nl/cedar/), an openly accessible database for depositing and exploring mass spectrometry data from complexome profiling studies. Compatibility and reusability of the data is ensured by a standardized data and reporting format containing the "minimum information required for a complexome profiling experiment" (MIACE). The data can be accessed through a user-friendly web interface, as well as programmatically using the REST API portal. Additionally, all complexome profiles available on CEDAR can be inspected directly on the website with the profile viewer tool that allows the detection of correlated profile sand inference of potential complexes. In conclusion, CEDAR is a unique,growing and invaluable resource for the study of protein complex composition and dynamics across biological systems.

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