RT Journal Article
SR Electronic
T1 Untargeted metabolomics suffers from incomplete data analysis
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 143818
DO 10.1101/143818
A1 Richard Baran
YR 2017
UL http://biorxiv.org/content/early/2017/05/30/143818.abstract
AB 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 metabolomics studies acquired using instruments from different manufacturers were reanalyzed.Results Omissions of at least 50 relevant compounds from original results as well as examples of representative mistakes are reported for each study.Conclusion Incomplete data analysis shows unexplored potential of current and legacy data.