Raja Mazumder

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

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

The paper presents BioCompute Objects (BCOs) as a standardized framework for communicating computational analyses, demonstrating their use in a viral detection pipeline for regulatory environments.

This paper describes a workflow to improve glycan data interoperability between ChEBI, PubChem, and GlyGen by integrating and prioritizing glycan annotations.

This study identifies differentially expressed glycosyltransferases across 16 cancers using a multifaceted genomics approach and integrates findings with experimental evidence.

The paper extends a cancer biomarker data model to create a COVID-19 biomarker knowledgebase, integrating 138 biomarkers and 265 type combinations with ontological annotations.

The paper describes a crowdsourced challenge on precisionFDA to improve the BioCompute standard by gathering feedback and demonstrating BCO creation tools.

The paper identifies 21 key differentially expressed miRNAs across 14 cancer types using TCGA data, showing their potential as biomarkers and therapeutic targets.