Missing values in mass spectrometry based metabolomics: an undervalued step in the data processing pipeline

Metabolomics ◽  
2011 ◽  
Vol 8 (S1) ◽  
pp. 161-174 ◽  
Author(s):  
Olga Hrydziuszko ◽  
Mark R. Viant
Keyword(s):  
Mass Spectrometry ◽  
Data Processing ◽  
Missing Values ◽  
Processing Pipeline

scholarly journals Data Processing Pipeline for Lipid Profiling of Carotid Atherosclerotic Plaque with Mass Spectrometry Imaging

2019 ◽  
Vol 30 (9) ◽  
pp. 1790-1800 ◽  
Author(s):  
Mirjam Visscher ◽  
Astrid M. Moerman ◽  
Peter C. Burgers ◽  
Heleen M. M. Van Beusekom ◽  
Theo M. Luider ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Data Processing ◽  
Atherosclerotic Plaque ◽  
Mass Spectrometry Imaging ◽  
Carotid Atherosclerotic Plaque ◽  
Lipid Profiling ◽  
Processing Pipeline

A graphical data processing pipeline for mass spectrometry imaging-based spatially resolved metabolomics on tumor heterogeneity

2019 ◽  
Vol 1077 ◽  
pp. 183-190 ◽  
Author(s):  
Luojiao Huang ◽  
Xinxin Mao ◽  
Chenglong Sun ◽  
Zhigang Luo ◽  
Xiaowei Song ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Data Processing ◽  
Tumor Heterogeneity ◽  
Mass Spectrometry Imaging ◽  
Processing Pipeline ◽  
Spatially Resolved ◽  
Graphical Data

scholarly journals Extending theFermi-LAT Data Processing Pipeline to the Grid

2012 ◽  
Vol 396 (3) ◽  
pp. 032121 ◽  
Author(s):  
S Zimmer ◽  
L Arrabito ◽  
T Glanzman ◽  
T Johnson ◽  
C Lavalley ◽  
...  
Keyword(s):  
Data Processing ◽  
Processing Pipeline

Profiling and comparison of toxicant metabolites in hair and urine using a mass spectrometry-based metabolomic data processing method

2019 ◽  
Vol 1052 ◽  
pp. 84-95 ◽  
Author(s):  
Chia-Lung Shih ◽  
Hsin-Yi Wu ◽  
Pao-Mei Liao ◽  
Jen-Yi Hsu ◽  
Chia-Yun Tsao ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Data Processing ◽  
Processing Method ◽  
Data Processing Method ◽  
Metabolomic Data

scholarly journals Direct infusion mass spectrometry metabolomics dataset: a benchmark for data processing and quality control

2014 ◽  
Vol 1 (1) ◽  
Author(s):  
Jennifer A Kirwan ◽  
Ralf J M Weber ◽  
David I Broadhurst ◽  
Mark R Viant
Keyword(s):  
Mass Spectrometry ◽  
Quality Control ◽  
Data Processing ◽  
Direct Infusion ◽  
Direct Infusion Mass Spectrometry

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

scholarly journals THE GWAC DATA PROCESSING AND MANAGEMENT SYSTEM

2021 ◽  
Vol 53 ◽  
pp. 174-179
Author(s):  
Y. Xu ◽  
L. P. Xin ◽  
X. H. Han ◽  
H. B. Cai ◽  
L. Huang ◽  
...  
Keyword(s):  
Data Processing ◽  
User Interfaces ◽  
Management System ◽  
Scientific Data ◽  
Data Archiving ◽  
Processing Pipeline ◽  
Advanced Technologies ◽  
Single Frame ◽  
Moonless Night ◽  
Processing Requirement

GWAC will have been built an integrated FOV of 5,000 degree2 and have already built 1,800 square degree2. The limit magnitude of a 10-second exposure image in the moonless night is 16R. In each observation night, GWAC produces about 0.7TB of raw data, and the data processing pipeline generates millions of single frame alerts. We describe the GWAC Data Processing and Management System (GPMS), including hardware architecture, database, detection-filtering-validation of transient candidates, data archiving, and user interfaces for the check of transient and the monitor of the system. GPMS combines general technology and software in astronomy and computer field, and use some advanced technologies such as deep learning. Practical results show that GPMS can fully meet the scientific data processing requirement of GWAC. It can online accomplish the detection, filtering and validation of millions of transient candidates, and feedback the final results to the astronomer in real-time. During the observation from October of 2018 to December of 2019, we have already found 102 transients.

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