“Notame”: workflow for non-targeted LC–MS metabolic profiling
Metabolomics analysis generates vast arrays of data, necessitating comprehensive
workflows involving expertise in analytics, biochemistry and bioinformatics in order to …
workflows involving expertise in analytics, biochemistry and bioinformatics in order to …
Navigating freely-available software tools for metabolomics analysis
Introduction The field of metabolomics has expanded greatly over the past two decades,
both as an experimental science with applications in many areas, as well as in regards to …
both as an experimental science with applications in many areas, as well as in regards to …
Mass appeal: metabolite identification in mass spectrometry-focused untargeted metabolomics
Metabolomics has advanced significantly in the past 10 years with important developments
related to hardware, software and methodologies and an increasing complexity of …
related to hardware, software and methodologies and an increasing complexity of …
MetaboLyzer: a novel statistical workflow for analyzing postprocessed LC–MS metabolomics data
Metabolomics, the global study of small molecules in a particular system, has in the past few
years risen to become a primary-omics platform for the study of metabolic processes. With …
years risen to become a primary-omics platform for the study of metabolic processes. With …
Data processing for mass spectrometry-based metabolomics
M Katajamaa, M Orešič - Journal of chromatography A, 2007 - Elsevier
Modern analytical technologies afford comprehensive and quantitative investigation of a
multitude of different metabolites. Typical metabolomic experiments can therefore produce …
multitude of different metabolites. Typical metabolomic experiments can therefore produce …
XCMS Online: a web-based platform to process untargeted metabolomic data
R Tautenhahn, GJ Patti, D Rinehart… - Analytical …, 2012 - ACS Publications
Recently, interest in untargeted metabolomics has become prevalent in the general scientific
community among an increasing number of investigators. The majority of these …
community among an increasing number of investigators. The majority of these …
muma, an R package for metabolomics univariate and multivariate statistical analysis
E Gaude, F Chignola, D Spiliotopoulos… - Current …, 2013 - ingentaconnect.com
Metabolomics, similarly to other high-throughput “-omics” techniques, generates large arrays
of data, whose analysis and interpretation can be difficult and not always straightforward …
of data, whose analysis and interpretation can be difficult and not always straightforward …
Metabolomics technologies and metabolite identification
Metabolomics studies rely on the analysis of the multitude of small molecules (metabolites)
present in a biological system. Most commonly, metabolomics is heavily supported by mass …
present in a biological system. Most commonly, metabolomics is heavily supported by mass …
Data-processing strategies for metabolomics studies
MMWB Hendriks, FA van Eeuwijk, RH Jellema… - TrAC Trends in …, 2011 - Elsevier
Metabolomics studies aim at a better understanding of biochemical processes by studying
relations between metabolites and between metabolites and other types of information (eg …
relations between metabolites and between metabolites and other types of information (eg …
Analytical methods for mass spectrometry-based metabolomics studies
The advancement of mass spectrometry-based analytical platform largely facilitates small-
molecule metabolomics studies, which allows simultaneously analysis of a large number of …
molecule metabolomics studies, which allows simultaneously analysis of a large number of …