The pmartR R package provides functionality for quality control, normalization, exploratory data analysis, and statistical analysis of mass spectrometry (MS) omics data, in particular proteomic (either at the peptide or the protein level), lipidomic, and metabolomic data.

A Python toolkit for the analyis of lipid membrane simulations

Toolkit to aid in the analysis of lipid bilayer molecular simulation trajectories.

💻 Build hydrogen atoms from united-atom molecular dynamics of lipids and calculate the order parameters.

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.

MolMeDB is an open chemistry database about interactions of molecules with membranes.

epiLipidome Identifier and Optimized Nomenclature

Quantify lipids using a feature table and internal standards table

Code for an analysis of the association of lipid regulating agents (e.g. statins) with incidence of dementia outcomes

A collection of tools for characterizing membrane structure and dynamics within simulated trajectories of molecular systems.

A molecular dynamics approach to study the permeation of nanoparticles through lipid bilayer

💻 Automatic lipid mapping topology writer

Set of python scripts to extend the capabilities of the LIPMIX software for analyzing small-angle scattering data from lipid systems (as part of the ATSAS package).

Biochemistry DIY board game

Upadtes to B.sc. project, creating a lipid heatmap for lipidomics data. Read further on bio on B.Sc. programs.

Predicting lipid abundance in a murine brain section from spatial gene expression

Visualize relationship between pH, temperature, and the relative abundance of iGDGT lipids.

The purpose of the study was to look at the causal relationships between lipid profiles (TG, HDL, and LDL) and diseases, drugs, and lifestyle choices. MR analysis was used and applied to GWAS from the UK Biobank to examine these associations using analysis software RStudio.

My B.Sc. project involves a collaboration with the M3 Lab Group at SDU. The purpose is to create a Shiny app that will be published. My code will be used in the app to visualize and analysis Metabolomics, Lipidomics data.

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