My main research interests are in the development of bioinformatic workflows and pipelines for the pre-processing and analysis of metabolic profiling data (Nuclear magnetic resonance spectroscopy and mass spectrometry) and on the statistical data analysis of metabolic phenotyping dataset and other -omic datasets.
et al., 2022, 1H NMR Signals from urine excreted protein are a source of bias in probabilistic quotient normalization, Analytical Chemistry, ISSN:0003-2700
et al., 2021, Direct on-swab metabolic profiling of vaginal microbiome host interactions during pregnancy and preterm birth, Nature Communications, Vol:12, ISSN:2041-1723
et al., 2021, Statistical analysis in metabolic phenotyping, Nature Protocols, Vol:16, ISSN:1754-2189, Pages:4299-4326
et al., 2021, peakPantheR, an R package for large-scale targeted extraction and integration of annotated metabolic features in LC-MS profiling datasets, Bioinformatics, Vol:37, ISSN:1367-4803, Pages:4886-4888
et al., 2021, A DISTINCTIVE SIGNATURE OF FECAL BILE ACIDS AND OTHER NOVEL METABOLITES ACCOMPANYING RECURRENCE AFTER PRIMARY CLOSTRIDIOIDES DIFFICILE INFECTION, W B SAUNDERS CO-ELSEVIER INC, Pages:S368-S368, ISSN:0016-5085