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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

Extending workflow management for knowledge discovery in clinico-genomic data.

Stefan Rüping¹, Stelios Sfakianakis, Manolis Tsiknakis

¹Knowledge Discovery Department, Fraunhofer Institute for Intelligent Analysis and Information Systems, Sankt Augustin, Germany.

Studies in Health Technology and Informatics

|May 4, 2007

Summary

Knowledge Discovery (KD) in cancer research uses semantic grid services for multi-centric, post-genomic clinical trials. This project enhances workflow management and data provenance for complex clinico-genomic data analysis.

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Cancer research generates vast amounts of data, necessitating advanced methods for knowledge extraction.
Managing and analyzing complex clinico-genomic data presents significant challenges in collaborative research environments.

Purpose of the Study:

To present the ACGT integrated project, developing semantic grid services for multi-centric, post-genomic clinical trials.
To address challenges in Knowledge Discovery (KD) for clinico-genomic data within a collaborative Grid framework.

Main Methods:

Developing semantic grid services to support clinical trial data analysis.
Improving workflow management for complex data processing and analysis.
Implementing robust management of workflow results and provenance information.

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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

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Main Results:

A framework integrating multiple techniques to handle interactivity and dependencies in workflows, services, and data.
Enhanced capabilities for Knowledge Discovery in large-scale, multi-centric clinical trials.
Improved management of clinico-genomic data and associated provenance.

Conclusions:

The ACGT project provides a robust framework for Knowledge Discovery in post-genomic clinical trials.
Semantic grid services and improved workflow management are crucial for handling complex clinico-genomic data.
This approach facilitates collaborative research and accelerates cancer knowledge discovery.