Metadata-Version: 2.1
Name: vimms
Version: 2.0.5
Summary: A framework to develop, test and optimise fragmentation strategies in LC-MS metabolomics.
Home-page: https://github.com/glasgowcompbio/vimms
Author: Joe Wandy, Vinny Davies, Ross McBride, Justin J.J. van der Hooft, Stefan Weidt, Ronan Daly, Simon Rogers
Author-email: joe.wandy@glasgow.ac.uk
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: scikit-learn
Requires-Dist: pymzml (==2.4.7)
Requires-Dist: psims
Requires-Dist: events
Requires-Dist: tqdm
Requires-Dist: joblib
Requires-Dist: ipyparallel
Requires-Dist: requests
Requires-Dist: loguru
Requires-Dist: networkx
Requires-Dist: jsonpickle
Requires-Dist: statsmodels
Requires-Dist: mass-spec-utils
Requires-Dist: tabulate
Requires-Dist: pysmiles
Requires-Dist: intervaltree
Requires-Dist: gpy

ViMMS is a modular LC-MS/MS simulator framework for metabolomics that allows for real-time scan-level control of the MS2 acquisition process in-silico.

