John Erol Evangelista

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

This study shows that miR-206 regulates Purkinje neuron firing dynamics and sensorimotor gating in mice, linking it to schizophrenia-related behaviors.

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.

ChEA-KG constructs a human transcription factor regulatory network using gene set enrichment analysis and provides an interactive web interface for network exploration and analysis.

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

Rummagene extracts and provides access to gene sets from PMC publications for search and analysis, revealing trends and enabling functional predictions.

The paper presents a LINCS Microenvironment perturbation dataset cataloging transcriptional, proteomic, epigenomic, and phenotypic responses of MCF10A cells to six ligands, enabling integrative analysis of molecular and phenotypic changes.

The paper constructs a reproductive toxicity knowledge graph (ReproTox-KG) to link birth defects, drugs, and genes, identifying potential molecular mechanisms for drug-induced birth defects.

The paper analyzes CPTAC phosphoproteomics data to identify kinase activity differences between tumor and normal tissues across cancers and develops a web portal for querying kinase activity scores and associated data.