Analytical methods in untargeted metabolomics: state of the art in 2015
Metabolomics comprises the methods and techniques that are used to measure the small
molecule composition of biofluids and tissues, and is actually one of the most rapidly …
molecule composition of biofluids and tissues, and is actually one of the most rapidly …
Statistical analysis in metabolic phenotyping
BJ Blaise, GDS Correia, GA Haggart, I Surowiec… - Nature …, 2021 - nature.com
Metabolic phenotyping is an important tool in translational biomedical research. The
advanced analytical technologies commonly used for phenotyping, including mass …
advanced analytical technologies commonly used for phenotyping, including mass …
NOREVA: normalization and evaluation of MS-based metabolomics data
Diverse forms of unwanted signal variations in mass spectrometry-based metabolomics data
adversely affect the accuracies of metabolic profiling. A variety of normalization methods …
adversely affect the accuracies of metabolic profiling. A variety of normalization methods …
[HTML][HTML] Glycine decarboxylase activity drives non-small cell lung cancer tumor-initiating cells and tumorigenesis
Identification of the factors critical to the tumor-initiating cell (TIC) state may open new
avenues in cancer therapy. Here we show that the metabolic enzyme glycine decarboxylase …
avenues in cancer therapy. Here we show that the metabolic enzyme glycine decarboxylase …
MMEASE: online meta-analysis of metabolomic data by enhanced metabolite annotation, marker selection and enrichment analysis
Large-scale and long-term metabolomic studies have attracted widespread attention in the
biomedical studies yet remain challenging despite recent technique progresses. In …
biomedical studies yet remain challenging despite recent technique progresses. In …
Bioinformatics tools for mass spectroscopy-based metabolomic data processing and analysis
M Sugimoto, M Kawakami, M Robert… - Current …, 2012 - ingentaconnect.com
Biological systems are increasingly being studied in a holistic manner, using omics
approaches, to provide quantitative and qualitative descriptions of the diverse collection of …
approaches, to provide quantitative and qualitative descriptions of the diverse collection of …
Performance evaluation and online realization of data-driven normalization methods used in LC/MS based untargeted metabolomics analysis
In untargeted metabolomics analysis, several factors (eg, unwanted experimental &
biological variations and technical errors) may hamper the identification of differential …
biological variations and technical errors) may hamper the identification of differential …
Multi-omics tools for studying microbial biofilms: current perspectives and future directions
CJ Seneviratne, T Suriyanarayanan… - Critical Reviews in …, 2020 - Taylor & Francis
The advent of omics technologies has greatly improved our understanding of microbial
biology, particularly in the last two decades. The field of microbial biofilms is, however …
biology, particularly in the last two decades. The field of microbial biofilms is, however …
Overoptimism in cross-validation when using partial least squares-discriminant analysis for omics data: a systematic study
Advances in analytical instrumentation have provided the possibility of examining thousands
of genes, peptides, or metabolites in parallel. However, the cost and time-consuming data …
of genes, peptides, or metabolites in parallel. However, the cost and time-consuming data …
Bioinformatics tools for the interpretation of metabolomics data
Abstract Purpose of Review Metabolomics is a rapidly evolving field that generates large
and complex datasets. Bioinformatics becomes critical towards the extraction of meaningful …
and complex datasets. Bioinformatics becomes critical towards the extraction of meaningful …