Data Mining and Analysis of Lipidomics datasets in R
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Updated
Jun 8, 2023 - R
Data Mining and Analysis of Lipidomics datasets in R
metaX: a flexible and comprehensive software for processing omics data.
Intrinsic Peak Analysis (IPA) pipeline for peak-picking in large-scale untargeted small molecule analysis including metabolomics, lipidomics, exposomics, and environmental studies.
Guide to processing raw LCMS metabolomic and lipidomic data using MS-DIAL, followed by data pre-processing and secondary annotation (of metabolites) in R.
Git repository for the R package "LOBSTAHS" (Lipid and Oxylipin Biomarker Screening Through Adduct Hierarchy Sequences)
United Formula Annotation (UFA) for LC-HRMS data
Alzheimer's Disease Neuroimaging Initiative: Untargeted Lipidomics Analysis
A light weight and fast parser for reading mzML, mzXML and netCDF data files
R package for Profiling and Differential expression Analysis of Lipidomic Datasets
Functions and a Shiny app to correct class-based separation LC-MRM-MS lipidomics data for isotopic interferences
The R-language bindings for mzTab-M
Repository for metabolomics and lipidomics data processing app.
ADViSELipidomics is a novel Shiny app for the preprocessing, analysis, and visualization of lipidomics data.
This repository contains codes I wrote mostly in R to perform various kinds of analysis of multi-omics datasets.
Ginkgo Bioworks' extensions and fixes to XCMS
Shiny app to have a look at the quality of -omics data.
Exhaustive Formula Annotation from ions to formula
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