arrow
Return

SmartPeak Automates Targeted and Quantitative Metabolomics Data Processing

delete2020-12-03
delete20
delete
OA
AI
S
Svetlana Kutuzova
P
Pasquale Colaianni
H
Hannes Röst
T
Timo Sachsenberg
O
Oliver Alka
O
Oliver Kohlbacher
B
Bo Burla
F
Federico Torta
L
Lars Schrübbers
M
Mette Kristensen
L
Lars K. Nielsen
M
Markus J. Herrgård
D
Douglas McCloskey *
DOI:10.1021/acs.analchem.0c03421delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Technological advances in high-resolution mass spectrometry (MS) vastly increased the number of samples that can be processed in a life science experiment, as well as volume and complexity of the generated data. To address the bottleneck of high-throughput data processing, we present SmartPeak (https://github.com/AutoFlowResearch/SmartPeak), an application that encapsulates advanced algorithms to enable fast, accurate, and automated processing of capillary electrophoresis-, gas chromatography-, and liquid chromatography (LC)-MS(/MS) data and high-pressure LC data for targeted and semitargeted metabolomics, lipidomics, and fluxomics experiments. The application allows for an approximate 100-fold reduction in the data processing time compared to manual processing while enhancing quality and reproducibility of the results.
Keywords:
MASS
QUANTIFICATION
OPENMS
MS
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Analytical Chemistry cover
Analytical Chemistry
IF:
6.7
Papers:
4.7W
Citations:
15.9W

Organization

T
technical university of denmark
Scholars:
2.6W
Papers: 2.8W
Citations: 37
E
eberhard karls university hospital
Scholars:
9.7K
Papers: 7.3K
Citations: 14
N
Novo Nordisk Foundation
Scholars:
1.8K
Papers: 1.1K
Citations: 1.5W
U
university of toronto
Scholars:
14.7W
Papers: 12.0W
Citations: 165
N
National University of Singapore
Scholars:
7.5W
Papers: 6.5W
Citations: 11.4W
researcher View more organizations