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. |
Mendeley readers
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% |