We provide comprehensive bioinformatics support for targeted and untargeted metabolomics experiments using both liquid chromatography–mass spectrometry (LC-MS) and gas chromatography–mass spectrometry (GC-MS) platforms. Our expertise spans the full data analysis workflow, from raw data processing through statistical interpretation and biological discovery.

When needed, we can assist with preprocessing steps such as peak picking, alignment, missing value filtering and imputation, normalization, and quality control assessment — including internal standard evaluation and total ion chromatogram (TIC) review. Raw data processing for metabolomics experiments is performed by the Metabolomics Center at UIUC, and we work closely with them to carry data into downstream analysis.

Our core strength is in statistical analysis and biological interpretation of processed metabolomics data. This includes differential abundance testing, principal component analysis (PCA), and metabolite annotation using tools such as MS-DIAL, MetaboAnalystR, limma, and DEP. Additional analyses such as pathway enrichment, metabolite set enrichment analysis (MSEA), and time-course or multi-group experimental designs are available on a consultation basis. Results are delivered with publication-quality figures and a reproducible analysis report.

Please contact us to discuss how we can support your metabolomics project or to receive a quote.