Back to search

Article

MassID provides near complete annotation of metabolomics data with identification probabilities

2026-02-14

Abstract excerpt

Liquid chromatography coupled to mass spectrometry (LC/MS) is a powerful tool in metabolomics research, generating tens-of-thousands of signals from a single biological sample. However, current software solutions for unbiased assessment of metabolomics data analysis are limited by complex sources of noise and non-quantitative metabolite identifications that make results difficult to interpret. Here, we present Mas...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
35552845-e5c1-5c1c-b076-0a71fb55323a
DOI
10.64898/2026.02.11.704864
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
MassID provides near complete annotation of metabolomics data with identification probabilitiesDOI 10.64898/2026.02.11.704864
Select a neighboring publication to make it the new centre.