The EXPOSD ontology represents surrogate data and markers for envirnmental exposures and health outcomes.

PhD paper #1

Chemical Correlation Database (CCDB)

A light weight and fast parser for reading mzML, mzXML and netCDF data files

Phenome-wide sex differences in environmental effects in NHANES

Regional Association of Methylation variability with the Exposome and geNome (RAMEN) is an R package whose goal is to identify Variable Methylated Regions (VMRs) in microarray DNA methylation data. Additionally, using Genotype (G) and Environmental (E) data, it can identify which G, E, G+E or GxE model better explains this variability.

Exhaustive Formula Annotation from ions to formula

United Formula Annotation (UFA) for LC-HRMS data

Scannotation is an automated and user-friendly suspect screening tool for the rapid pre-annotation of LC-HRMS datasets. This software combines several MS1 chemical predictors: m/z, retention times, isotopic patterns and neutral loss patterns, to score the proximity between features and suspects, thus efficiently prioritizing compounds of interest.

Intrinsic Peak Analysis (IPA) pipeline for peak-picking in large-scale untargeted small molecule analysis including metabolomics, lipidomics, exposomics, and environmental studies.

Kun-peng: an ultra-fast, low-memory footprint and accurate taxonomy classifier for all

The Blood Exposome Database