Workflow for LC-MS feature analysis and spatial mapping
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Updated
Jul 16, 2018 - Python
Workflow for LC-MS feature analysis and spatial mapping
BEAMSpy - Birmingham mEtabolite Annotation for Mass Spectrometry (Python Package)
LipidHunter is capable to perform bottom up identification of lipids from LC-MS/MS and shotgun lipidomics data by resembling a workflow of manual spectra annotation. LipidHunter generates interactive HTML output with its unique six-panel-image, which provides an easy way to review, store, and share the identification results.
📊 User-friendly mass spectrometry and chromatography data analysis app with native UI, graphing, quantification, MS/MS and data export capabilities
PepFoot: a user friendly GUI for protein footprinting analysis
Applying Deep Learning Methods to LC-MS Metabolomics Data to Improve Metabolite Identification
Description of work done at Merck pharmaceutical company in the summer of 2018 as a Computational Drug Discovery Intern at West Point, PA. Information excludes all proprietary information belonging to Merck & Co.
Python & R scripts collection for AdipoAtlas project
Galaxy tools for BEAMSpy: Birmingham mEtabolite Annotation for Mass SpectroMetry (Python Package)
A Heuristic Strategy for Metabolomics Analysis based on multiple chromatographic gradients to enhance metabolite coverage in untargeted metabolomics analysis.
Application for the handling and simplification of putative annotations in untargeted metabolomics analysis based on LC/ESI-MS
High Resolution Software for Mass Spectrometry
Acquire & filter mass spectral libraries based on sample taxonomy
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