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Bioinformatics Methods and Tools to Advance Clinical Care. Findings from the Yearbook 2015 Section on Bioinformatics
1Dr Lina F. Soualmia, Normandie Univ., Rouen University and Hospital, SIBM & LITIS EA 4108, Information Processing in Biology & Health, 1, rue de Germont, Cour Leschevin porte 21, 76031 Rouen Cedex, France, Tel : +33 232 885 869,
Yearbook of Medical Informatics
|August 22, 2015
Summary
This review highlights recent advances in bioinformatics and translational informatics, focusing on tools for cancer survival, mutation prediction, and patient data analysis. These developments aim to improve clinical care and advance personalized medicine through better data management and interpretation.
Area of Science:
- Bioinformatics and Translational Informatics
- Genomic Medicine
- Clinical Informatics
Background:
- The IMIA Yearbook 2015 selected research in Bioinformatics and Translational Informatics for health applications.
- A systematic review process identified 15 high-impact articles from 1,594 initial MEDLINE-queried papers.
Purpose of the Study:
- To summarize current research in Bioinformatics and Translational Informatics relevant to health and clinical care.
- To identify trends and future directions in the field.
Main Methods:
- Selection of articles for the IMIA Yearbook 2015.
- MEDLINE database queries using MeSH descriptors and relevant terms.
- Evaluation by section editors and merging of results for final article selection.
Main Results:
- Four key articles were identified, focusing on data management and genome medicine.
- Tools for cancer survival analysis (PPISURV), disease-related mutation prediction (PredictSNP), and human proteome mapping were presented.
- Datamining of transplant data for survival prediction and the role of mass spectrometry in genome annotation were highlighted.
Conclusions:
- Bioinformatics and Medical Informatics are converging, with a focus on tools for clinical care.
- There is a need for both powerful data management tools and user-friendly clinical applications.
- Research efforts aim to translate genomic and biological data into personalized medicine.
Keywords:
Translational medical researchcomputational biologygene expressiongenomemedical informaticsMore Related Videos
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