📣 Try out the NEW Gateway to Research and let us know what you think.

We're looking for users to test the new service during August and September and share their feedback. Express your interest by completing this short form.

ipaPy2: Integrated Probabilistic Annotation (IPA) 2.0-an improved Bayesian-based method for the annotation of LC-MS/MS untargeted metabolomics data. (2023)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/bioinformatics/btad455

PubMed Identifier: 37490466

Publication URI: http://europepmc.org/abstract/MED/37490466

Type: Journal Article/Review

Volume: 39

Parent Publication: Bioinformatics (Oxford, England)

Issue: 7

ISSN: 1367-4803