Mano Ram Maurya

The paper extends the OMOP Common Data Model to support multimodal data integration across AMP projects by adding extension tables and a CDE Registry.

BiomarkerKB integrates and standardizes biomarker data from multiple sources to enable structured exploration and discovery of biomarker-disease relationships.

The paper describes the Common Fund Data Ecosystem (CFDE), which integrates NIH Common Fund data resources to enable discovery, analysis, and collaboration across heterogeneous datasets.

The CFDE Workbench integrates metadata and processed data from Common Fund programs to enable FAIR and AI-ready cross-program knowledge discovery.

The paper introduces a knowledge graph framework for integrating and querying biomedical data across domains, demonstrating its utility in eight use cases.

This study identifies NME1 as a cofactor that enhances RelA's DNA binding to κB sites, promoting gene expression and suggesting that κB site clustering is necessary for transcription complex assembly.

The paper introduces a web-based platform for building bioinformatics workflows using APIs, enabling hypothesis generation across multiple data sources.

The paper introduces a cybernetic-inspired modeling framework to analyze the transcriptional regulation of the mammalian cell cycle, identifying functional network modules and predicting future cell cycles.

MetENP and MetENPWeb provide tools for metabolomics enrichment and pathway analysis using data from the Metabolomics Workbench.

This study identifies lipidomic changes in maternal blood linked to severe preeclampsia, showing altered lipid species and their potential as biomarkers.