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CBD: a biomarker database for colorectal cancer.

Authors :
Zhang, Xueli
Sun, Xiao-Feng
Cao, Yang
Ye, Benchen
Peng, Qiliang
Liu, Xingyun
Shen, Bairong
Zhang, Hong
Source :
Database: The Journal of Biological Databases & Curation. 2018, Vol. 2018, p1-N.PAG. 12p.
Publication Year :
2018

Abstract

Colorectal cancer (CRC) biomarker database (CBD) was established based on 870 identified CRC biomarkers and their relevant information from 1115 original articles in PubMed published from 1986 to 2017. In this version of the CBD, CRC biomarker data were collected, sorted, displayed and analysed. The CBD with the credible contents as a powerful and time-saving tool provide more comprehensive and accurate information for further CRC biomarker research. The CBD was constructed under MySQL server. HTML, PHP and JavaScript languages have been used to implement the web interface. The Apache was selected as HTTP server. All of these web operations were implemented under the Windows system. The CBD could provide to users the multiple individual biomarker information and categorized into the biological category, source and application of biomarkers; the experiment methods, results, authors and publication resources; the research region, the average age of cohort, gender, race, the number of tumours, tumour location and stage. We only collect data from the articles with clear and credible results to prove the biomarkers are useful in the diagnosis, treatment or prognosis of CRC. The CBD can also provide a professional platform to researchers who are interested in CRC research to communicate, exchange their research ideas and further design high-quality research in CRC. They can submit their new findings to our database via the submission page and communicate with us in the CBD. Database URL: http://sysbio.suda.edu.cn/CBD/ [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17580463
Volume :
2018
Database :
Academic Search Index
Journal :
Database: The Journal of Biological Databases & Curation
Publication Type :
Academic Journal
Accession number :
134049612
Full Text :
https://doi.org/10.1093/database/bay046