Thomas Naake

TurbOmics is a web-based platform that enables multi-omics integration of metabolomics, proteomics, and transcriptomics data, addressing limitations in metabolomics annotation and accessibility.

The paper provides a guide for analyzing metabolomics data in R, integrating it with proteomics using multi-omics factor analysis and network-based approaches to discover biomarkers and understand disease mechanisms.

The paper introduces a single-sample workflow, MTBE-SP3, for simultaneous proteomic and metabolomic analysis, showing it reduces technical variation and enables consistent results across biological matrices.

MsQuality calculates 40 standardized quality metrics for mass spectrometry data using the mzQC vocabulary to improve data quality assessment and comparability across datasets.

MatrixQCvis provides interactive visualization of data quality metrics for omics data using R's shiny framework, facilitating quality assessment and integration into existing workflows.