TurboPutative: A web server for data handling and metabolite classification in untargeted metabolomics

ABSTRACT: Untargeted metabolomics aims at measuring the entire set of metabolites in a wide range of biological samples. However, due to the high chemical diversity of metabolites that range from small to large and more complex molecules (i.e., amino acids/carbohydrates vs. phospholipids/gangliosides), the identification and characterization of the metabolome remain a major bottleneck. The first step of this process consists of searching the experimental monoisotopic mass against databases, thus resulting in a highly redundant/complex list of candidates. Despite the progress in this area, researchers are still forced to manually explore the resulting table in order to prioritize the most likely identifications for further biological interpretation or confirmation with standards. Here, we present Tur

SUBMITTER: Barrero-Rodriguez R 

PROVIDER: S-EPMC9493301 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature