Translational bioinformatics for diagnostic and prognostic prediction of prostate cancer in the next-generation sequencing era.
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 revi...
| Publicado en: | BioMed Research International Vol. 2013; pp. 901578 - 901579 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104088571&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104088571 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 2013 vid: 2013 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104088571 2012229231 NLM23957008 PMC3727129 104088571 ppf: 901578 ppct: 1 formats: fmt: @attributes: type: P tig: atl: Translational bioinformatics for diagnostic and prognostic prediction of prostate cancer in the next-generation sequencing era. aug: au: Chen, Jiajia Zhang, Daqing Yan, Wenying Yang, Dongrong Shen, Bairong affil: Center for Systems Biology, Soochow University, Suzhou 215006, China ; School of Chemistry, Biology and Material Engineering, Suzhou University of Science and Technology, Suzhou 215011, China. sug: subj: Bioinformatics Methods Sequence Analysis Prostatic Neoplasms Proteins Genome, Human Genomics Male Prognosis Prostatic Neoplasms Diagnosis Prostatic Neoplasms Pathology Male ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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