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.
Dos Santos Correia G, Marchesi J, MacIntyre D, 2023, Moving beyond DNA: towards functional analysis of the vaginal microbiome by non-sequencing-based methods, Current Opinion in Microbiology, Vol:73, ISSN:1369-5274, Pages:1-11
et al., 2022, Assessing the clinical value of faecal bile acid profiling to predict recurrence in primary Clostridioides difficile infection, Alimentary Pharmacology and Therapeutics, Vol:56, ISSN:0269-2813, Pages:1556-1569
et al., 2022, 1H NMR Signals from urine excreted protein are a source of bias in probabilistic quotient normalization, Analytical Chemistry, Vol:94, ISSN:0003-2700, Pages:6919-6923
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