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Updated: Jun 19, 2026

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

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Published on: May 17, 2019

Accelerating knowledge discovery through community data sharing and integration.

¹Swiss-Prot group, Swiss Institute of Bioinformatics, 1 Rue Michel-Servet, CH-1211 Geneva, Switzerland. lina.yip@isb-sib.ch

Yearbook of Medical Informatics

|October 27, 2009

Summary

This summary is machine-generated.

Bioinformatics research highlights Semantic Web for data integration and translational research advancements. These technologies are crucial for collaborative knowledge discovery in modern biomedical science.

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Last Updated: Jun 19, 2026

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

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

Published on: May 17, 2019

Area of Science:

Bioinformatics
Biomedical Research
Computational Biology

Background:

The field of bioinformatics is rapidly evolving, driven by the need to manage and interpret vast amounts of biological data.
Translational research presents complex challenges requiring advanced computational approaches.

Purpose of the Study:

To summarize key research trends in bioinformatics from selected articles in the IMIA Yearbook 2009.
To identify emerging technologies and methodologies shaping the future of biomedical research.

Main Methods:

Synopsis of six excellent articles focusing on bioinformatics.
Analysis of trends in data integration, knowledge discovery, and collaborative research.

Main Results:

Semantic Web technologies are pivotal for integrating heterogeneous biological data and enabling logical inferences for new discoveries.
Translational research increasingly leverages collective intelligence through community-defined protocols for secure data sharing and analysis.
Advances in systems biology, bio-ontologies, and text mining are significant.

Conclusions:

Biomedical research is shifting towards highly collaborative environments with sophisticated knowledge processing.
Enabling technologies like Semantic Web are essential for future knowledge generation in bioinformatics.