lipids
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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.
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Mar 13, 2025 - R
A Python toolkit for the analyis of lipid membrane simulations
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Mar 13, 2025 - Python
Toolkit to aid in the analysis of lipid bilayer molecular simulation trajectories.
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May 12, 2021 - Python
💻 Build hydrogen atoms from united-atom molecular dynamics of lipids and calculate the order parameters.
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Dec 20, 2022 - Python
Optimization tool for calibrating coarse-grained force fields of lipids, relying on the simultaneous usage of reference AA trajectories (bottom-up) and experimental data (top-down)
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Jun 6, 2023 - Python
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.
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Apr 29, 2021 - Python
A collection of tools for characterizing membrane structure and dynamics within simulated trajectories of molecular systems.
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Feb 26, 2025 - C++
MolMeDB is an open chemistry database about interactions of molecules with membranes.
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Sep 18, 2024 - JavaScript
ADViSELipidomics is a novel Shiny app for the preprocessing, analysis, and visualization of lipidomics data.
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Mar 17, 2023 - R
A molecular dynamics approach to study the permeation of nanoparticles through lipid bilayer
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Jan 28, 2023 - Shell
The ProLint Webserver
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Jun 8, 2021 - JavaScript
Biochemistry DIY board game
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Nov 11, 2024
Code for an analysis of the association of lipid regulating agents (e.g. statins) with incidence of dementia outcomes
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Oct 13, 2021 - Stata
LORA: Lipid Over-Representation Analysis
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Mar 14, 2024 - Python
Calculate lipid order parameters from Gromacs simulations
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Mar 18, 2025 - Rust
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.
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Feb 14, 2024 - R
Data, scripts, and figures for "Homeocurvature adaptation of phospholipids to pressure in deep-sea invertebrates"
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May 10, 2024 - R
Quantify lipids using a feature table and internal standards table
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Jul 20, 2018 - R
Upadtes to B.sc. project, creating a lipid heatmap for lipidomics data. Read further on bio on B.Sc. programs.
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Feb 10, 2025 - R
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