ClusterFinder (CF) is a metabolomics data analysis software tool for targeted and non-targeted metabolomics. ClusterFinder processes isotopically enriched metabolomics data; centered around 13C at 93-97% and 2-5% (typically 95% and 5% 13C) abundance. CF corrects for ion suppression correction and normalizes data.
ClusterFinder™ is provided with any kit purchase and developed to support the analysis of IROA LC-MS data files generated using the IROA Metabolic Profiling Kits, and the IROA TruQuant Yeast Extract Semi-targeted QC Workflow Kit.
ClusterFinder metabolomics data analysis benefits:
- Accurate compound formula ID for MS alone; complete ID with addition of SWATH, or IM, even at low concentrations
- Unique IROA patterns discriminate peaks of biological origin from artifacts allowing the removal of false data
- All IROA-based fragments have the IROA ratio pattern derived from their parent peaks and can be identified using the “peak correlation” ClusterFinder module
- Suppression-corrected measurements
- Normalizes (using suppression-corrected) experimental samples
- ClusterFinder builds libraries, ID/quantitate compounds and normalizes data
- Ensures high level QC for accurate and reproducible results