Untargeted metabolomics suffers from incomplete raw data processing

Untargeted metabolomics suffers from incomplete data analysis

Introduction: Untargeted metabolomics is a powerful tool for biological discoveries. Significant advances in computational approaches to analyzing the complex raw data have been made, yet it is not clear how exhaustive and reliable are the data analysis results. Objectives: Assessment of the quality of data analysis results in untargeted metabolomics. Methods: Five published untargeted metabolo...

Untargeted metabolomics.

Along with genes and proteins, metabolites play important roles in sustaining life. Their functions include "primary" functions in metabolism and energy storage, as well as "secondary" functions in cell-to-cell signaling, metal acquisition, and virulence. There remains much to be learned about the in vivo roles of metabolites. Approaches that accelerate measurement of metabolite levels directly...

Image Reconstruction from Incomplete Data

Image Reconstruction from Incomplete Data

MetaDB a Data Processing Workflow in Untargeted MS-Based Metabolomics Experiments

Due to their sensitivity and speed, mass-spectrometry based analytical technologies are widely used to in metabolomics to characterize biological phenomena. To address issues like metadata organization, quality assessment, data processing, data storage, and, finally, submission to public repositories, bioinformatic pipelines of a non-interactive nature are often employed, complementing the inte...