Recent advances in mass spectrometry (MS)-based proteomics have enabled tremendous
progress in the understanding of cellular mechanisms, disease progression, and the …

The boost of research output in lipidomics during the last decade is tightly linked to improved
instrumentation in mass spectrometry. Associated with this trend is the shift from low …

Since its first release over a decade ago, the MetaboAnalyst web-based platform has
become widely used for comprehensive metabolomics data analysis and interpretation …

Liquid chromatography coupled to high-resolution mass spectrometry platforms are
increasingly employed to comprehensively measure metabolome changes in systems …

Diverse forms of unwanted signal variations in mass spectrometry-based metabolomics data
adversely affect the accuracies of metabolic profiling. A variety of normalization methods …

To date, mass spectrometry (MS) data remain inherently biased as a result of reasons
ranging from sample handling to differences caused by the instrumentation. Normalization is …

Large-scale untargeted lipidomics experiments involve the measurement of hundreds to
thousands of samples. Such data sets are usually acquired on one instrument over days or …

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 …

Technical biases are introduced in omics data sets during data generation and interfere with
the ability to study biological mechanisms. Several normalization approaches have been …

Abstract 1 H NMR spectra from urine can yield information-rich data sets that offer important
insights into many biological and biochemical phenomena. However, the quality and utility …