‪Sadjad Fakouri Baygi‬

IDSL.CSA: Composite Spectra Analysis for Chemical Annotation of Untargeted Metabolomics Datasets

IDSL.CSA generates composite mass spectra libraries from MS1-only data to annotate untargeted metabolomics datasets without MS2 fragmentation spectra, achieving comparable results to MS/MS libraries in human blood samples.

IDSL.UFA assigns high confidence molecular formula annotations for untargeted LC/HRMS datasets in metabolomics and exposomics

IDSL.UFA annotates molecular formulas for untargeted LC/HRMS data, achieving high accuracy in metabolomics and exposomics studies.

IDSL.CCDB: a database for exploring inter-chemical correlations in metabolomics and exposomics datasets

The paper introduces IDSL.CCDB, a database that catalogs inter-chemical correlations in metabolomics and exposomics datasets, enabling exploration of chemical relationships in human studies.