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Translational Biomedical Informatics

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Attention for Chapter 10: Biobanks and Their Clinical Application and Informatics Challenges.
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Chapter title
Biobanks and Their Clinical Application and Informatics Challenges.
Chapter number 10
Book title
Translational Biomedical Informatics
Published in
Advances in experimental medicine and biology, November 2016
DOI 10.1007/978-981-10-1503-8_10
Pubmed ID
Book ISBNs
978-9-81-101502-1, 978-9-81-101503-8
Authors

Lan Yang, Yalan Chen, Chunjiang Yu, Bairong Shen

Editors

Bairong Shen, Haixu Tang, Xiaoqian Jiang

Abstract

Biobanks are one of the most important biomedical research resources and contribute to the development of biomarker detection, molecular diagnosis, translational medicine, and multidisciplinary disease research, as well as studies of interactions between genetic and environmental or lifestyle factors. Aiming for the wide clinical application of biobanks, biobanking efforts have recently switched from a focus on accumulating samples to both formalizing and sustaining collections in light of the rapid progress in the fields of personalized medicine and bioinformatics analysis. With the emergence of novel molecular diagnostic technologies, although the bioinformatics platform of biobanks ensures reliable bioinformatics analysis of patient samples, there are a series of challenges facing biobanks in terms of the overall harmonization of policies, integrated processes, and local informatics solutions across the network. Further, there is a controversy regarding the increased role of ethical boards, governance, and accreditation bodies in ensuring that collected samples have sufficient informatics capabilities to be used in biobanks. In this volume, we present a selection of current issues on the inevitable challenges of the clinical application of biobanks in informatics.

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Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 28%
Student > Bachelor 6 15%
Student > Master 4 10%
Professor 3 8%
Librarian 3 8%
Other 2 5%
Unknown 10 26%
Readers by discipline Count As %
Medicine and Dentistry 8 21%
Nursing and Health Professions 5 13%
Computer Science 5 13%
Social Sciences 4 10%
Economics, Econometrics and Finance 2 5%
Other 4 10%
Unknown 11 28%