Maheshwor Thapa

Assessing the metabolomics "dark matter" by a detectable khipu model

The paper analyzes metabolomics 'dark matter' using a detectable khipu model, showing most abundant features have identifiable ion patterns, while many remain unknown.

Species and strain diversity in Staphylococcus drive divergent host responses in human skin

The paper profiles skin responses to 187 Staphylococcus strains across seven species in a human skin model, revealing strain-level diversity in host immune and barrier responses.

Constructing a consensus serum metabolome

The paper constructs a consensus serum metabolome from over 100,000 mass spectrometry acquisitions, revealing gaps in current databases and improving LC-MS metabolomics annotation.

Common data models to streamline metabolomics processing and annotation, and implementation in a Python pipeline

The paper introduces a Python pipeline and data structures for metabolomics data processing, annotation, and standardization, demonstrating its utility with large-scale datasets.