Open Access
Yearb Med Inform 2016; 25(01): 207-210
DOI: 10.1055/s-0038-1641612
IMIA and Schattauer GmbH
Georg Thieme Verlag KG Stuttgart

Findings from the Section on Bioinformatics and Translational Informatics

H. Dauchel
1   Normandie Univ., UNIROUEN, LITIS, Rouen, France
,
T. Lecroq
1   Normandie Univ., UNIROUEN, LITIS, Rouen, France
,
Section Editors for the IMIA Yearbook Section on Bioinformatics and Translational Informatics › Author Affiliations
Further Information

Publication History

10 November 2016

Publication Date:
20 March 2018 (online)

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Summary

Objectives : To summarize excellent current research and propose a selection of best papers published in 2015 in the field of Bioinformatics and Translational Informatics with application in the health domain and clinical care.

Method : We provide a synopsis of the articles selected for the IMIA Yearbook 2016, from which we attempt to derive a synthetic overview of current and future activities in the field.

As last year, a first step of selection was performed by querying MEDLINE with a list of MeSH descriptors completed by a list of terms adapted to the section. Each section editor has evaluated separately the set of 1,566 articles and the evaluation results were merged for retaining 14 articles for peer-review.

Results : The selection and evaluation process of this Yearbook's section on Bioinformatics and Translational Informatics yielded four excellent articles focusing this year on data management of large-scale datasets and genomic medicine that are mainly new method-based papers. Three articles explore the high potential of the re-analysis of previously collected data, here from The Cancer Genome Atlas project (TCGA) and one article presents an original analysis of genomic data from sub-Saharan Africa populations.

Conclusions : The current research activities in Bioinformatics and Translational Informatics with application in the health domain continues to explore new algorithms and statistical models to manage and interpret large-scale genomic datasets. From population wide genome sequencing for cataloging genomic variants to the comprehension of functional impact on pathways and molecular interactions regarding a given pathology, making sense of large genomic data requires a necessary effort to address the issue of clinical translation for precise diagnostic and personalized medicine.