ViMMS 2.0: A framework to develop, test and optimise fragmentation strategies in LC-MS metabolomics (2022)
Attributed to:
Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.21105/joss.03990
Publication URI: http://dx.doi.org/10.21105/joss.03990
Type: Journal Article/Review
Parent Publication: Journal of Open Source Software
Issue: 71