Translational Bioinformatics for Diagnostic and Prognostic Prediction of Prostate Cancer in the Next-Generation Sequencing Era
Joint Authors
Zhang, Daqing
Yang, Dongrong
Chen, Jiajia
Shen, Bairong
Yan, Wenying
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-15
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The discovery of prostate cancer biomarkers has been boosted by the advent of next-generation sequencing (NGS) technologies.
Nevertheless, many challenges still exist in exploiting the flood of sequence data and translating them into routine diagnostics and prognosis of prostate cancer.
Here we review the recent developments in prostate cancer biomarkers by high throughput sequencing technologies.
We highlight some fundamental issues of translational bioinformatics and the potential use of cloud computing in NGS data processing for the improvement of prostate cancer treatment.
American Psychological Association (APA)
Chen, Jiajia& Zhang, Daqing& Yan, Wenying& Yang, Dongrong& Shen, Bairong. 2013. Translational Bioinformatics for Diagnostic and Prognostic Prediction of Prostate Cancer in the Next-Generation Sequencing Era. BioMed Research International،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1031059
Modern Language Association (MLA)
Chen, Jiajia…[et al.]. Translational Bioinformatics for Diagnostic and Prognostic Prediction of Prostate Cancer in the Next-Generation Sequencing Era. BioMed Research International No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-1031059
American Medical Association (AMA)
Chen, Jiajia& Zhang, Daqing& Yan, Wenying& Yang, Dongrong& Shen, Bairong. Translational Bioinformatics for Diagnostic and Prognostic Prediction of Prostate Cancer in the Next-Generation Sequencing Era. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1031059
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031059