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

BioMed Research International

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

Medicine

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